[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-scale-rag-to-production-fix-8-anti-patterns-with-5-summary":3,"summaries-facets-categories":95,"summary-related-scale-rag-to-production-fix-8-anti-patterns-with-5-summary":4501},{"id":4,"title":5,"ai":6,"body":13,"categories":72,"created_at":73,"date_modified":73,"description":65,"extension":74,"faq":73,"featured":75,"kicker_label":73,"meta":76,"navigation":77,"path":78,"published_at":79,"question":73,"scraped_at":73,"seo":80,"sitemap":81,"source_id":82,"source_name":83,"source_type":84,"source_url":85,"stem":86,"tags":87,"thumbnail_url":73,"tldr":92,"tweet":73,"unknown_tags":93,"__hash__":94},"summaries\u002Fsummaries\u002Fscale-rag-to-production-fix-8-anti-patterns-with-5-summary.md","Scale RAG to Production: Fix 8 Anti-Patterns with 5 Pillars",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",7333,2001,23133,0.00244445,{"type":14,"value":15,"toc":64},"minimark",[16,21,25,28,32,35,38,41,45,48,51,55,58,61],[17,18,20],"h2",{"id":19},"fix-8-production-rag-anti-patterns-to-prevent-degradation","Fix 8 Production RAG Anti-Patterns to Prevent Degradation",[22,23,24],"p",{},"Vector-only retrieval misses exact matches for SKUs or policy codes since embeddings favor semantics over tokens—combine with BM25 for precision. Stateful inference pods lose session data on redeploys; offload to Redis with 2-hour TTL for stateless scaling. Uniform fixed-size chunking ignores document structure, harming recall—use type-specific strategies via versioned ConfigMaps. Hardcoded prompts block versioning; externalize to GitOps for audits without redeploys. Reactive cost management misses token spikes—track real-time via Prometheus labels. Offline-only eval like RAGAS ignores live drifts; run continuous gates with thresholds (faithfulness ≥0.85, answer_relevancy ≥0.80, context_recall ≥0.75, context_precision ≥0.70). Embedding drift from stale indexes kills performance—version Qdrant snapshots tied to git SHAs for rollbacks. Late Responsible AI adoption risks bias\u002Ftoxicity—bake in from start with policy-as-code.",[22,26,27],{},"These anti-patterns turn demos into unreliable systems; addressing them via pillars ensures fault tolerance, auditability for SOX\u002FPCI DSS, and scaling.",[17,29,31],{"id":30},"enforce-governance-and-harden-the-core-pillars-1-2","Enforce Governance and Harden the Core (Pillars 1-2)",[22,33,34],{},"Isolate workloads with Kubernetes namespaces and ResourceQuotas (e.g., 8 CPU requests, 32Gi memory, 2 GPUs for ingestion) to avoid contention. Enable self-service via GitOps scaffolding like Backstage for preconfigured envs with observability\u002Fsecrets, cutting dev cycles. Deploy from golden-path Helm charts bundling OpenTelemetry, Redis, Prometheus, and network policies for day-one compliance.",[22,36,37],{},"Unify prompts\u002Fretrieval\u002Flogic in one codebase, pinning versions in pyproject.toml (e.g., prompt v4, embedding text-embedding-3-small 1.0.0); CI fails mismatches. Externalize configs to Vault\u002FConfigMaps for zero-downtime tuning like SIMILARITY_THRESHOLD. Make execution stateless with Redis session state. Scale event-driven via KEDA on queue depth >50, not CPU (min 1, max 20 replicas). Trace every step (retrieval scores, chunk IDs) with OTel spans. Default chunking per doc type in ConfigMaps preserves semantics.",[22,39,40],{},"GitOps mandates PRs for all changes (prompts, models), with service catalogs like Backstage\u002FArgoCD as single truth for SLAs\u002Fdependencies.",[17,42,44],{"id":43},"boost-retrieval-precision-and-intelligence-pillar-3","Boost Retrieval Precision and Intelligence (Pillar 3)",[22,46,47],{},"Rewrite queries into 4 variants (e.g., latency opts, embedding speed) via LLM, retrieve parallel from vector store, deduplicate by chunk_id—improves accuracy without model swaps. Version knowledge indexes (Qdrant snapshots to git SHAs) for reversibility. Gate PRs with RAGAS in Jenkins: fail if faithfulness \u003C0.85, etc.",[22,49,50],{},"Route models intelligently: cheap Flash for lookups, premium for reasoning—saves 60%+ costs. Hybrid search fuses dense vectors + BM25, reranked by cross-encoders like Qwen3-Reranker-8B or bge-reranker-v2-m3 for conceptual + exact precision. On embedding upgrades, snapshot index, re-embed all, validate RAGAS, rollback if fails, then swap traffic. Rerankers shrink context, cutting hallucinations.",[17,52,54],{"id":53},"secure-actions-memory-and-operations-pillars-4-5","Secure Actions, Memory, and Operations (Pillars 4-5)",[22,56,57],{},"Proxy tools via MCP: agents request typed calls (e.g., query_db SQL), MCP validates (reject DROP\u002FINSERT, wrong projects), executes, logs, returns results—no direct creds. Separate session memory (Redis, 2h TTL) from persistent (Qdrant); summarize long convos to avoid truncation.",[22,59,60],{},"Loop feedback: aggregate failures, LLM-as-Judge evals trigger PRs for prompts. Enforce policy-as-code with OPA Rego (block >2000 tokens, non-tenant queries, PII regex like SSN). Sign images\u002Fmodels with Sigstore\u002FCosign, verify in CI before ArgoCD sync. Track tenant-token costs in Grafana for alerts. Chaos test with Chaos Mesh\u002FLitmusChaos (inject LLM outages, reranker timeouts), validate fallbacks don't hike hallucinations via Ragas\u002FDeepEval. Zero-trust nets via Cilium eBPF + Istio mTLS for identity-governed, encrypted traffic.",[22,62,63],{},"Build platforms over prompts: standardize via 12-Factor Agents, 16-Factor Apps, CNCF tools (KEDA, OTel, Sigstore) for any-model reliability.",{"title":65,"searchDepth":66,"depth":66,"links":67},"",2,[68,69,70,71],{"id":19,"depth":66,"text":20},{"id":30,"depth":66,"text":31},{"id":43,"depth":66,"text":44},{"id":53,"depth":66,"text":54},[],null,"md",false,{},true,"\u002Fsummaries\u002Fscale-rag-to-production-fix-8-anti-patterns-with-5-summary","2026-04-08 21:21:21",{"title":5,"description":65},{"loc":78},"c4633c1d0e14948d","Towards AI","article","https:\u002F\u002Funknown","summaries\u002Fscale-rag-to-production-fix-8-anti-patterns-with-5-summary",[88,89,90,91],"llm","agents","devops-cloud","ai-automation","RAG fails in production due to 8 anti-patterns like vector-only retrieval and stateful pods; counter them with 5 pillars—governance, core hardening, retrieval smarts, agent actions\u002Fmemory, and security\u002FFinOps—for reliable, observable 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This shifts agents from prototypes to profitable automation, but demands upfront math to avoid surprises.",[17,4527,4529],{"id":4528},"achieve-deterministic-outputs-through-agent-harnessing","Achieve Deterministic Outputs Through Agent Harnessing",[22,4531,4532],{},"Traditional agents fail reliably because listing tools and MCPs relies on model luck within context limits, yielding variable paths across users. Agent harnessing fixes this by binding agents to structured phases with dedicated prompts and constrained decision spaces, enforcing optimal steps for long-horizon tasks. Claude Managed Agents supports this natively, boosting determinism and consistency—run 100 sessions, get uniform results instead of hoping for the best.",{"title":65,"searchDepth":66,"depth":66,"links":4534},[4535,4536,4537],{"id":4514,"depth":66,"text":4515},{"id":4521,"depth":66,"text":4522},{"id":4528,"depth":66,"text":4529},[108],{"content_references":4540,"triage":4546},[4541],{"type":4542,"title":4543,"url":4544,"context":4545},"other","Claude Managed Agents Docs","https:\u002F\u002Fclaude.com\u002Fblog\u002Fclaude-managed-agents","recommended",{"relevance":4547,"novelty":4548,"quality":4548,"actionability":4548,"composite":4549,"reasoning":4550},5,4,4.35,"Category: AI Automation. The article provides a detailed overview of Claude Managed Agents, which directly addresses the audience's need for practical AI tooling to deploy agents efficiently. It offers actionable insights on cost management and deployment strategies, making it highly relevant for product builders.","\u002Fsummaries\u002Fclaude-managed-agents-infra-free-deployment-at-0-0-summary","2026-05-05 14:01:11","2026-05-05 16:07:43",{"title":4504,"description":65},{"loc":4551},"67aaa5b758a64a53","KodeKloud","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=haMS2-JXL6s","summaries\u002Fclaude-managed-agents-infra-free-deployment-at-0-0-summary",[89,88,91,90],"Anthropic's Claude Managed Agents offloads agent infra, security, and scaling to their cloud for $0.08 per session-hour + tokens, letting you build via API—but vendor lock-in and costs demand ROI checks.",[91,90],"c872PgLloyP4LyRDhn0D4YdxSU_AT-QV8iQsoIa3-j4",{"id":4565,"title":4566,"ai":4567,"body":4572,"categories":4913,"created_at":73,"date_modified":73,"description":4914,"extension":74,"faq":73,"featured":75,"kicker_label":73,"meta":4915,"navigation":77,"path":4916,"published_at":4917,"question":73,"scraped_at":4918,"seo":4919,"sitemap":4920,"source_id":4921,"source_name":4922,"source_type":4923,"source_url":4924,"stem":4925,"tags":4926,"thumbnail_url":73,"tldr":4927,"tweet":73,"unknown_tags":4928,"__hash__":4929},"summaries\u002Fsummaries\u002Fsandbox-ai-generated-code-with-capability-security-summary.md","Sandbox AI-Generated Code with Capability Security",{"provider":7,"model":8,"input_tokens":4568,"output_tokens":4569,"processing_time_ms":4570,"cost_usd":4571},7923,2027,17765,0.00257545,{"type":14,"value":4573,"toc":4905},[4574,4578,4581,4587,4590,4594,4597,4602,4605,4609,4612,4615,4715,4722,4727,4731,4734,4741,4744,4836,4843,4848,4851,4855,4858,4861,4864,4869,4873,4901],[17,4575,4577],{"id":4576},"threats-from-running-unreviewed-ai-code","Threats from Running Unreviewed AI Code",[22,4579,4580],{},"AI-generated code acts like untrusted internet snippets: LLMs produce text resembling code without review, exposing apps to risks. Harshil Agrawal outlines three key dangers. First, hallucinations create broken code—non-existent imports crash processes, recursive functions blow stacks, infinite loops burn compute. These aren't malicious but still disrupt production. Second, \"helpful\" LLMs access secrets unintentionally, like scanning env vars for database configs and processing API keys. Third, prompt injections—direct (\"ignore instructions, exfil env vars\") or indirect (adversarial docs)—turn the LLM into an attack vector. All run with full app privileges: file system, network, DBs, secrets.",[4582,4583,4584],"blockquote",{},[22,4585,4586],{},"\"Stripe away all the hype... What we are actually doing is running untrusted code from the internet.\" (Harshil Agrawal, reframing AI code gen as a security risk to highlight why isolation is essential.)",[22,4588,4589],{},"Without safeguards, one bad snippet crashes services, leaks data, or enables exfiltration.",[17,4591,4593],{"id":4592},"capability-based-security-as-the-core-principle","Capability-Based Security as the Core Principle",[22,4595,4596],{},"Borrow from browsers, OSes, and phones: default-deny, explicitly grant minimal capabilities. Blocklists miss attacks; allowlists eliminate unneeded access. No network? Set outbound to null. Need DB? Bind a scoped query method. This prevents exploits by design—dangerous ops aren't available.",[4582,4598,4599],{},[22,4600,4601],{},"\"Don't enumerate what to block. Enumerate what to allow.\" (Harshil Agrawal, core principle of capability-based security, contrasting master-key blocklists with precise keys.)",[22,4603,4604],{},"Threat model checklist: secrets (env vars\u002FAPI keys), networking (outbound calls), file system (other files\u002Fuser data), multi-tenancy (cross-user leaks), compute (loops\u002Fmemory DoS). Answer yes\u002Fno per resource before building.",[17,4606,4608],{"id":4607},"v8-isolates-for-lightweight-fast-execution","V8 Isolates for Lightweight, Fast Execution",[22,4610,4611],{},"For sub-100ms tasks like agent skills, plugins, or data transforms, use V8 isolates (Chrome V8 engine). Start in ~1ms, run JS\u002FTS\u002FPython\u002FWasm in isolated memory\u002Fcontext. No FS, processes, or state—perfect for stateless, short-lived code.",[22,4613,4614],{},"In Harshil's OpenClaw alternative on Cloudflare Workers: AI generates Hacker News fetch skill, executes in dynamic Worker Isolate. Code:",[4616,4617,4621],"pre",{"className":4618,"code":4619,"language":4620,"meta":65,"style":65},"language-javascript shiki shiki-themes github-light github-dark","loader.load({\n  code: userCode,\n  globalOutbound: null  \u002F\u002F Blocks all network\n});\nenv = { db: restrictedQuery, logger };\nisolate.fetch(new Request('\u002Frun', { body: JSON.stringify({ code, env }) }));\n","javascript",[4622,4623,4624,4640,4645,4659,4664,4676],"code",{"__ignoreMap":65},[4625,4626,4629,4633,4637],"span",{"class":4627,"line":4628},"line",1,[4625,4630,4632],{"class":4631},"sVt8B","loader.",[4625,4634,4636],{"class":4635},"sScJk","load",[4625,4638,4639],{"class":4631},"({\n",[4625,4641,4642],{"class":4627,"line":66},[4625,4643,4644],{"class":4631},"  code: userCode,\n",[4625,4646,4648,4651,4655],{"class":4627,"line":4647},3,[4625,4649,4650],{"class":4631},"  globalOutbound: ",[4625,4652,4654],{"class":4653},"sj4cs","null",[4625,4656,4658],{"class":4657},"sJ8bj","  \u002F\u002F Blocks all network\n",[4625,4660,4661],{"class":4627,"line":4548},[4625,4662,4663],{"class":4631},"});\n",[4625,4665,4666,4669,4673],{"class":4627,"line":4547},[4625,4667,4668],{"class":4631},"env ",[4625,4670,4672],{"class":4671},"szBVR","=",[4625,4674,4675],{"class":4631}," { db: restrictedQuery, logger };\n",[4625,4677,4679,4682,4685,4688,4691,4694,4696,4700,4703,4706,4709,4712],{"class":4627,"line":4678},6,[4625,4680,4681],{"class":4631},"isolate.",[4625,4683,4684],{"class":4635},"fetch",[4625,4686,4687],{"class":4631},"(",[4625,4689,4690],{"class":4671},"new",[4625,4692,4693],{"class":4635}," Request",[4625,4695,4687],{"class":4631},[4625,4697,4699],{"class":4698},"sZZnC","'\u002Frun'",[4625,4701,4702],{"class":4631},", { body: ",[4625,4704,4705],{"class":4653},"JSON",[4625,4707,4708],{"class":4631},".",[4625,4710,4711],{"class":4635},"stringify",[4625,4713,4714],{"class":4631},"({ code, env }) }));\n",[22,4716,4717,4718,4721],{},"Bindings proxy via Worker RPC: AI calls ",[4622,4719,4720],{},"db.query()"," → Worker validates\u002Froutes. Network options: null (default), proxy\u002Froutable (allowlist domains), or open (avoid). Scopes DB to user ID for multi-tenancy.",[4582,4723,4724],{},[22,4725,4726],{},"\"Think of it like a room with no doors or windows. The only thing inside are what I put there before I locked it.\" (Harshil Agrawal, on isolates' isolation via bindings, emphasizing zero unintended access.)",[17,4728,4730],{"id":4729},"containers-for-full-environments-with-fs-and-processes","Containers for Full Environments with FS and Processes",[22,4732,4733],{},"For npm installs, git clones, dev servers (e.g., motion graphics previews), use Linux containers. Seconds to start, real FS\u002Fprocesses\u002Fnetworking.",[22,4735,4736,4737,4740],{},"Harshil's PromptMotion.app (live at promptmotion.app): User describes animation → AI writes Remotion code → clones repo, ",[4622,4738,4739],{},"npm install",", runs dev server, exposes preview URL. Per-user container via Cloudflare Sandbox SDK + Durable Object coordinator.",[22,4742,4743],{},"Pseudo-code flow:",[4616,4745,4747],{"className":4618,"code":4746,"language":4620,"meta":65,"style":65},"sandbox = sdk.getSandbox({ userId });  \u002F\u002F Isolation boundary\nawait sandbox.exec('git clone starter-repo');\nawait sandbox.exec('npm install');\nsandbox.startProcess('npm run dev');\nurl = sandbox.exposePort(3000);\n",[4622,4748,4749,4768,4787,4802,4817],{"__ignoreMap":65},[4625,4750,4751,4754,4756,4759,4762,4765],{"class":4627,"line":4628},[4625,4752,4753],{"class":4631},"sandbox ",[4625,4755,4672],{"class":4671},[4625,4757,4758],{"class":4631}," sdk.",[4625,4760,4761],{"class":4635},"getSandbox",[4625,4763,4764],{"class":4631},"({ userId });  ",[4625,4766,4767],{"class":4657},"\u002F\u002F Isolation boundary\n",[4625,4769,4770,4773,4776,4779,4781,4784],{"class":4627,"line":66},[4625,4771,4772],{"class":4671},"await",[4625,4774,4775],{"class":4631}," sandbox.",[4625,4777,4778],{"class":4635},"exec",[4625,4780,4687],{"class":4631},[4625,4782,4783],{"class":4698},"'git clone starter-repo'",[4625,4785,4786],{"class":4631},");\n",[4625,4788,4789,4791,4793,4795,4797,4800],{"class":4627,"line":4647},[4625,4790,4772],{"class":4671},[4625,4792,4775],{"class":4631},[4625,4794,4778],{"class":4635},[4625,4796,4687],{"class":4631},[4625,4798,4799],{"class":4698},"'npm install'",[4625,4801,4786],{"class":4631},[4625,4803,4804,4807,4810,4812,4815],{"class":4627,"line":4548},[4625,4805,4806],{"class":4631},"sandbox.",[4625,4808,4809],{"class":4635},"startProcess",[4625,4811,4687],{"class":4631},[4625,4813,4814],{"class":4698},"'npm run dev'",[4625,4816,4786],{"class":4631},[4625,4818,4819,4822,4824,4826,4829,4831,4834],{"class":4627,"line":4547},[4625,4820,4821],{"class":4631},"url ",[4625,4823,4672],{"class":4671},[4625,4825,4775],{"class":4631},[4625,4827,4828],{"class":4635},"exposePort",[4625,4830,4687],{"class":4631},[4625,4832,4833],{"class":4653},"3000",[4625,4835,4786],{"class":4631},[22,4837,4838,4839,4842],{},"User A\u002FB have separate FS—User A's ",[4622,4840,4841],{},"ls"," sees only their files. Proxy secrets: sandbox → Worker proxy endpoint → external API (key stays outside).",[4582,4844,4845],{},[22,4846,4847],{},"\"One user one sandbox no exception.\" (Harshil Agrawal, stressing user ID as isolation boundary to prevent cross-tenant leaks.)",[22,4849,4850],{},"Cleanup: try\u002Ffinally destroy on session end\u002F30min timeout; Cloudflare defaults 10min.",[17,4852,4854],{"id":4853},"trade-offs-match-tool-to-use-case","Trade-offs: Match Tool to Use Case",[22,4856,4857],{},"Isolates: JS\u002FTS\u002FPython\u002FWasm only, no FS\u002Fstate\u002Fheavy compute. Wins: fast, cheap, simple for agents\u002Fplugins. Loses: no npm\u002Fprocesses.",[22,4859,4860],{},"Containers: Full Linux (bash\u002FNode\u002FGit), but slow\u002Fexpensive\u002Fcomplex. Wins: real apps\u002Fpreviews. Loses: ms latency.",[22,4862,4863],{},"Choose by needs—quick functions? Isolates. Full stacks? Containers. Proxy secrets always; route network via Worker for control.",[4582,4865,4866],{},[22,4867,4868],{},"\"The key insight here is it's not about which one is the best. It's about what your use case requires.\" (Harshil Agrawal, on isolates vs containers, urging threat-model fit over one-size-fits-all.)",[17,4870,4872],{"id":4871},"key-takeaways","Key Takeaways",[4874,4875,4876,4880,4883,4886,4889,4892,4895,4898],"ul",{},[4877,4878,4879],"li",{},"Model threats: hallucinations (crashes\u002FDoS), helpful leaks (secrets), injections (exfil)—all via full privileges.",[4877,4881,4882],{},"Adopt capability security: bind only needed APIs (e.g., scoped DB), null outbound network.",[4877,4884,4885],{},"Use V8 isolates for \u003C100ms JS\u002FPython tasks; Cloudflare Dynamic Worker Isolates example: 5 lines for secure exec.",[4877,4887,4888],{},"Deploy containers for FS\u002Fprocess needs; per-user via SDK\u002FDurable Objects, proxy secrets.",[4877,4890,4891],{},"Enforce one-user-one-sandbox; try\u002Ffinally cleanup to avoid idle liabilities.",[4877,4893,4894],{},"Proxy all secrets\u002Fnetwork via Worker; never env-inject keys.",[4877,4896,4897],{},"Stateless isolates match agent tools; externalize state via bindings.",[4877,4899,4900],{},"Evaluate: secrets\u002Fnet\u002FFS\u002Fmulti-tenant\u002Fcompute before picking isolate\u002Fcontainer.",[4902,4903,4904],"style",{},"html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sScJk, html code.shiki .sScJk{--shiki-default:#6F42C1;--shiki-dark:#B392F0}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":65,"searchDepth":66,"depth":66,"links":4906},[4907,4908,4909,4910,4911,4912],{"id":4576,"depth":66,"text":4577},{"id":4592,"depth":66,"text":4593},{"id":4607,"depth":66,"text":4608},{"id":4729,"depth":66,"text":4730},{"id":4853,"depth":66,"text":4854},{"id":4871,"depth":66,"text":4872},[134],"We are using AI to write code. Moreover, we are using it to be more productive. However, giving AI access to our machine and let them run on their own is dangerous. Imagine, giving AI access to the server where you run your application! You want your users to interact with your application through a chat interface, and maybe build their own apps or customize the UI. If not supervised carefully, AI can break your application or worse leak private data.\n\nSo how do you run AI generated code within your application and allow users to build their own apps?\nIn this talk, we'll go beyond the hype and dive into the practical architecture of sandboxing AI generated code. You'll learn how to integrate an LLM to generate code and, how to run that code in a secure isolated environment.\n\nHarshil Agrawal - Sr. Developer Educator, Cloudflare\n\nWorking in the Developer Relations team at Cloudflare, Harshil enjoys sharing his learnings with the community. A JavaScript developer, open-source contributor, and a low-code enthusiast, Harshil loves experimenting with tech and building small projects.\n\nSocials:\nhttps:\u002F\u002Fx.com\u002Fharshil1712\nhttps:\u002F\u002Flinkedin.com\u002Fin\u002Fharshil1712\nhttps:\u002F\u002Fharshil.dev\n\nSlides:\nhttps:\u002F\u002Fharshil.dev\u002Fslides\u002Fsandbox-ai-engineer",{},"\u002Fsummaries\u002Fsandbox-ai-generated-code-with-capability-security-summary","2026-04-08 08:30:06","2026-04-08 14:46:58",{"title":4566,"description":4914},{"loc":4916},"5e51f8c5d6ce2bb0","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=AHtGAgQ0Q_Q","summaries\u002Fsandbox-ai-generated-code-with-capability-security-summary",[88,89,90,91],"Run untrusted LLM-generated code in isolates or containers using capability-based security: explicitly allow only needed access to block hallucinations, leaks, and injections.",[90,91],"RYN19SYpCmn00yis9ELL-38l7CWVw7HP-muGkbij0HA",{"id":4931,"title":4932,"ai":4933,"body":4938,"categories":5177,"created_at":73,"date_modified":73,"description":5178,"extension":74,"faq":73,"featured":75,"kicker_label":73,"meta":5179,"navigation":77,"path":5180,"published_at":5181,"question":73,"scraped_at":5182,"seo":5183,"sitemap":5184,"source_id":5185,"source_name":5186,"source_type":4923,"source_url":5187,"stem":5188,"tags":5189,"thumbnail_url":73,"tldr":5190,"tweet":73,"unknown_tags":5191,"__hash__":5192},"summaries\u002Fsummaries\u002Fbuild-graph-rag-multi-agents-for-multimodal-data-summary.md","Build Graph RAG Multi-Agents for Multimodal Data",{"provider":7,"model":8,"input_tokens":4934,"output_tokens":4935,"processing_time_ms":4936,"cost_usd":4937},8366,2973,22043,0.00313705,{"type":14,"value":4939,"toc":5169},[4940,4944,4947,4986,4989,4996,5000,5003,5006,5025,5028,5033,5037,5040,5043,5054,5057,5062,5066,5069,5072,5083,5090,5093,5098,5102,5105,5108,5120,5123,5126,5131,5133],[17,4941,4943],{"id":4942},"streamline-setup-for-hands-on-google-cloud-ai-lab","Streamline Setup for Hands-On Google Cloud AI Lab",[22,4945,4946],{},"This workshop assumes basic familiarity with Google Cloud Console and terminals, targeting developers new to agentic AI pipelines but comfortable with Python and APIs. Prerequisites: A Gmail account (avoid edu\u002Fcorporate for restrictions), free lab credits via provided link. Start by redeeming credits at the lab's credit link—click to associate with your account, confirm in Console > Billing > Credits (ignore warnings, check for associated billing account).",[22,4948,4949,4950,4953,4954,4957,4958,4961,4962,4965,4966,4969,4970,4973,4974,4977,4978,4981,4982,4985],{},"Open Google Cloud Shell (VS Code-like managed VM, persistent across sessions). Authenticate with ",[4622,4951,4952],{},"gcloud auth login",", clone repo ",[4622,4955,4956],{},"git clone \u003Cway-back-home-repo>",", create project via setup script (",[4622,4959,4960],{},".\u002Fcreate-project.sh","): auto-generates project ID (e.g., way-back-home-XXXX), attaches billing, enables APIs. Run ",[4622,4963,4964],{},"gcloud config set project \u003CID>",", enable APIs (",[4622,4967,4968],{},"gcloud services enable ..."," for AI Platform, Cloud Build, Run, Spanner, etc.—no costs until usage). Execute setup script (",[4622,4971,4972],{},".\u002Fsetup.sh",") to generate ",[4622,4975,4976],{},".env"," with vars (API keys, project ID; toggle hidden files in editor if missing). Sync deps with ",[4622,4979,4980],{},"uv sync"," (Rust-based, faster than pip\u002Fvenv for pyproject.toml deps like Gemini SDK). Load initial survivor data (",[4622,4983,4984],{},"python load_initial_data.py","), creating Spanner instance—click output link to verify.",[22,4987,4988],{},"Common pitfalls: Mismatched accounts\u002Fprojects (double-check yellow project indicator); empty .env (rerun setup); API delays (expected warnings). Use virtual TA bot or chat for blockers. Rocket emoji steps are core; coffee\u002Foptional for depth (e.g., deploy to Cloud Run later).",[22,4990,4991,4995],{},[4992,4993,4994],"strong",{},"Quote:"," \"UV sync essentially behind the scenes we're using Rust and it creates a virtual environment for you with all the packages um kind of managed. So it's a more modern way of managing your virtual environments.\"",[17,4997,4999],{"id":4998},"model-complex-relationships-in-spanner-as-unified-graphvector-store","Model Complex Relationships in Spanner as Unified Graph+Vector Store",[22,5001,5002],{},"Spanner unifies profiles, graphs, vectors—avoid separate Postgres\u002FNeo4j\u002FVectorDB+ETL. Schema implicitly models survivors (blue nodes), locations\u002Fbiomes (red), skills, needs, resources as interconnected entities. Initial data: 4 survivors with skills (e.g., engineering, medical), needs (food, treatment), locations.",[22,5004,5005],{},"Load via script populates tables with relations (e.g., Survivor → HAS_SKILL → Skill, Need → REQUIRES → Skill). Visualize in Spanner Studio (Console > Spanner > Instances > your-instance > Spanner Studio):",[5007,5008,5009,5016,5019,5022],"ol",{},[4877,5010,5011,5012,5015],{},"Query survivors\u002Flocations: ",[4622,5013,5014],{},"SELECT * FROM survivors JOIN biomes..."," → graph view shows nodes\u002Fedges.",[4877,5017,5018],{},"Skills: Hover blue (survivor) → red (biome); some have 2-3 skills.",[4877,5020,5021],{},"Needs: Filter crises (medical, technical, science).",[4877,5023,5024],{},"Matches: Edges between skills\u002Fneeds show potentials (e.g., doctor → injury).",[22,5026,5027],{},"This powers 3D graph UI (updates real-time post-ingestion). Quality criteria: Clear node colors\u002Ftypes, hover details, edge labels for relations. Before: Flat tables; after: Interactive graph reveals matches (e.g., hungry engineer near medic).",[22,5029,5030,5032],{},[4992,5031,4994],{}," \"With Spanner, you can kind of unify all that all one place. You can do vector um u management in one place. You can do draft management in one place. So it's a really good production um you know standard um for you know one unified database that kind of simplifies data governance.\"",[17,5034,5036],{"id":5035},"generate-embeddings-in-database-for-efficient-rag-foundations","Generate Embeddings In-Database for Efficient RAG Foundations",[22,5038,5039],{},"Embeddings (numeric vectors for text\u002Fimages) convert unstructured multimodal data (selfie+speech: \"I'm Annie, engineer, hungry\") to structured entities\u002Fskills\u002Fneeds. Avoid Python-side: Spin up notebooks, import SDKs, query DB, embed serially—slow, unscalable.",[22,5041,5042],{},"Create models directly in Spanner (bottom-up stack):",[5007,5044,5045,5051],{},[4877,5046,5047,5050],{},[4622,5048,5049],{},"CREATE MODEL text_embedding USING 'gemini-embedding-001'"," (or multimodal like Gemma).",[4877,5052,5053],{},"Service layer: RAG\u002Fkeyword\u002Fhybrid search calls model in-SQL (parallelized, DB-native).",[22,5055,5056],{},"Benefits: Faster (no client roundtrips), scalable (vectors stored alongside graph). Later: Tooling layer connects services; agent layer reasons over tools (model=brain, tools=toolbox).",[22,5058,5059,5061],{},[4992,5060,4994],{}," \"Spanner is that you can essentially uh create the model definition directly within the DB. You can create the embedding definition for the embedding model directly in DB and then you can call it directly in the in the DB. So it's parallelized, it's more efficient, faster outputs.\"",[17,5063,5065],{"id":5064},"ingest-multimodal-data-via-multi-agent-pipeline-to-update-graph","Ingest Multimodal Data via Multi-Agent Pipeline to Update Graph",[22,5067,5068],{},"Challenge: Time-critical matching (e.g., injury → medic) from SOS signals (photo\u002Fvideo\u002Ftext). Process: Capture → Extract entities\u002Frelations (skills: engineer; needs: food\u002Fmedical; location) → Embed → Insert\u002Fupdate Spanner graph.",[22,5070,5071],{},"Use Google Agent Development Kit (ADK, open-source): Orchestrate multi-agents.",[5007,5073,5074,5077,5080],{},[4877,5075,5076],{},"Multimodal agent: Gemini processes image\u002Fvideo\u002Ftext → structured JSON (name, skills, needs).",[4877,5078,5079],{},"Graph updater agent: Embeds entities, queries Spanner for matches, inserts relations (e.g., NEW_SURVIVOR → HAS_NEED → Hunger).",[4877,5081,5082],{},"Pipeline: Upload UI → ADK agents → Real-time graph\u002F3D viz update + search.",[22,5084,5085,5086,5089],{},"Code in repo (level2\u002F): Agents as ADK classes with tools (Spanner client, Gemini). Run locally first (",[4622,5087,5088],{},"python app.py","), optional deploy Cloud Run\u002FAgent Engine. Pitfalls: Unstructured extraction fails → Use structured outputs\u002Fprompts; duplicates → Idempotent inserts.",[22,5091,5092],{},"Before: Siloed data; after: Dynamic graph (e.g., new medic matches injury).",[22,5094,5095,5097],{},[4992,5096,4994],{}," \"agent is like we have model as a brain and we have a tool uh tools in the toolbox and model as a brain going to reasoning and pick the tool uh to solve your problem right so you need to attach the tools to the agent.\"",[17,5099,5101],{"id":5100},"enable-graph-rag-search-and-long-term-agent-memory","Enable Graph RAG Search and Long-Term Agent Memory",[22,5103,5104],{},"Graph RAG: Hybrid semantic+graph traversal over Spanner (vectors for similarity, edges for relations). Query: \"Who can treat injuries near biome X?\" → Embed query → KNN vectors → Traverse skills\u002Fneeds → Ranked matches.",[22,5106,5107],{},"Implementation:",[5007,5109,5110,5117],{},[4877,5111,5112,5113,5116],{},"Tool: SQL with embeddings (",[4622,5114,5115],{},"SELECT ..., ML.GENERATE_EMBEDDING(...) SIMILARITY",").",[4877,5118,5119],{},"Agent reasons: Pick graph_search tool → Hybrid results.",[22,5121,5122],{},"Memory: Long-term personalization. Store uploads\u002Fsearches in Spanner (e.g., UserSession → History). Agents query history for context (\"Remember last match? Update with new data.\"). Avoid stateless: Persist vectors\u002Fgraphs for recall.",[22,5124,5125],{},"Quality: Precise matches (graph > vector alone); real-time (in-DB). Practice: Upload mock video (\"Injured, need doctor\"), search → See graph evolve.",[22,5127,5128,5130],{},[4992,5129,4994],{}," \"we need to make this time critical decision that we want to match the helper uh need in real time. what if they have this emergency need for the medical need right and then lastly we we want to cover like long-term memory how do we remember the data that all the survival upload.\"",[17,5132,4872],{"id":4871},[4874,5134,5135,5141,5144,5151,5154,5157,5160,5163,5166],{},[4877,5136,5137,5138,5140],{},"Redeem lab credits with Gmail; use Cloud Shell for persistent dev env—run ",[4622,5139,4980],{}," for modern Python deps.",[4877,5142,5143],{},"Unify graph+vector in Spanner: Schema survivors → skills\u002Fneeds; visualize queries in Studio for insights.",[4877,5145,5146,5147,5150],{},"Embed in-DB (",[4622,5148,5149],{},"CREATE MODEL"," Gemini): Parallel, efficient vs. app-side—call in SQL for RAG.",[4877,5152,5153],{},"Multi-agent with ADK: Multimodal ingest → entity extraction → graph update; attach Spanner\u002FGemini tools.",[4877,5155,5156],{},"Graph RAG: Hybrid vector+traversal for relation-aware search (e.g., skills matching needs).",[4877,5158,5159],{},"Add memory: Persist sessions\u002Fsearches in Spanner for personalized, stateful agents.",[4877,5161,5162],{},"Test iteratively: Load data, query graphs, upload multimodal—watch 3D UI update.",[4877,5164,5165],{},"Scale: Deploy agents to Cloud Run; optional AM memory bank for advanced persistence.",[4877,5167,5168],{},"Avoid: Account mismatches, unenabled APIs—TA\u002Fchat for help; focus rocket steps first.",{"title":65,"searchDepth":66,"depth":66,"links":5170},[5171,5172,5173,5174,5175,5176],{"id":4942,"depth":66,"text":4943},{"id":4998,"depth":66,"text":4999},{"id":5035,"depth":66,"text":5036},{"id":5064,"depth":66,"text":5065},{"id":5100,"depth":66,"text":5101},{"id":4871,"depth":66,"text":4872},[],"*Code along with us! Click on the links below:*\n* Codelab link → https:\u002F\u002Fgoo.gle\u002Fgraph-rag\n* Claim your credits here. → https:\u002F\u002Fgoo.gle\u002Fcreditclaim\n* World map link → https:\u002F\u002Fwaybackhome.dev\u002Fe\u002Fhandsonai\n* Virtual TA link → https:\u002F\u002Fvta-p0rfcnu7.gca-americas.dev\n* Watch the first session here. → https:\u002F\u002Fgoo.gle\u002F4dm40aA\n\nThe mission continues. In part 1, we built agents that could process images and video. In part 2, we’re building the infrastructure that lets those agents solve complex, large scale problems.\n\nJoin Ayo Adedeji and Annie Wang for a 90 minute live build. \n\n*We are integrating:*\n* Cloud Spanner Graph: To map complex relationships between survivors and resources,\n* Graph RAG: To perform hybrid searches that are more accurate than standard RAG,\n* Vertex AI Memory Bank: To give your agents a long-term memory for personalized workflows,\n* ADK (Agent Development Kit): To orchestrate the entire multi-agent system,\nfrom an empty folder to a 3D visualized rescue network. Let's get to work.\n\nThis livestream originally aired on March 31, 2026 at 9:00 A.M. PST \u002F 12:00 P.M. EST.\n\n#GoogleCloud #ADK\n\nSpeakers: Ayo Adedeji, Annie Wang\nProducts Mentioned: Cloud Spanner Graph, Graph RAG, Agent Development Kit",{},"\u002Fsummaries\u002Fbuild-graph-rag-multi-agents-for-multimodal-data-summary","2026-03-31 17:35:53","2026-04-03 21:23:30",{"title":4932,"description":5178},{"loc":5180},"0ba4d7471f97e5f2","Google Cloud Tech","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=FzvIuoIJCcU","summaries\u002Fbuild-graph-rag-multi-agents-for-multimodal-data-summary",[89,88,91,90],"Step-by-step workshop to ingest images\u002Fvideos\u002Ftext into Cloud Spanner graph DB, add embeddings for Graph RAG search, orchestrate multi-agents with ADK, and enable long-term memory—all using Google Cloud for real-time survivor matching.",[91,90],"TZbIxpnIZZBlfu-Fu1TgXdUnalPV_0BjjAPsM4ZiFUo",{"id":5194,"title":5195,"ai":5196,"body":5201,"categories":5266,"created_at":73,"date_modified":73,"description":65,"extension":74,"faq":73,"featured":75,"kicker_label":73,"meta":5267,"navigation":77,"path":5291,"published_at":73,"question":73,"scraped_at":5292,"seo":5293,"sitemap":5294,"source_id":5295,"source_name":5296,"source_type":84,"source_url":5297,"stem":5298,"tags":5299,"thumbnail_url":73,"tldr":5300,"tweet":73,"unknown_tags":5301,"__hash__":5302},"summaries\u002Fsummaries\u002Finference-inflection-ai-compute-demand-explodes-10-summary.md","Inference Inflection: AI Compute Demand Explodes 10,000x",{"provider":7,"model":8,"input_tokens":5197,"output_tokens":5198,"processing_time_ms":5199,"cost_usd":5200},8231,2532,22179,0.0028897,{"type":14,"value":5202,"toc":5261},[5203,5207,5210,5213,5216,5222,5226,5229,5232,5235,5238,5243,5247,5250,5253,5256],[17,5204,5206],{"id":5205},"inference-compute-becomes-strategic-bottleneck","Inference Compute Becomes Strategic Bottleneck",[22,5208,5209],{},"NVIDIA CEO Jensen Huang identifies the 'inference inflection': AI now reasons, acts, and generates via inference, multiplying compute needs 10,000x for tokens alone and 1M x overall in two years. This flywheel—more capacity drives revenue and smarter AI—explains capacity crunches at OpenAI\u002FAnthropic. Noam Brown calls inference compute 'strategic and undervalued'; Sam Altman positions OpenAI as an 'AI inference company.'",[22,5211,5212],{},"CPUs face shortages: Intel CEO reports surging non-GPU demand amid 5-6 year COVID refresh cycle, where AI budgets starved maintenance CapEx. Builders diverted funds to GPUs, but agents (Claude Code, production agents, RL sims like RL gyms\u002FOpenClaw) demand CPUs—creating an up-slope after two years of underinvestment.",[22,5214,5215],{},"GPUs shift to prefill\u002Fdecode disaggregation (Nvidia-Groq, Intel-Sambanova, Amazon-Cerebras), optimizing inference workloads as training yields to production token generation.",[22,5217,5218,5221],{},[4992,5219,5220],{},"Build impact",": Prioritize inference capacity planning; expect CPU constraints for agent sims\u002FRL; disaggregate workloads for 10,000x scale without proportional hardware buys.",[17,5223,5225],{"id":5224},"agent-harnesses-unlock-production-gains-over-models","Agent Harnesses Unlock Production Gains Over Models",[22,5227,5228],{},"Raw model intelligence bows to harness quality—memory, retrieval, tools, orchestration. OpenAI's Codex evolves into persistent-context platform for code\u002Fresearch\u002Fspreadsheets\u002Fdecisions: WebSocket Responses API cuts agent loops 40% via warm state; $0 seats for Business\u002FEnterprise; integrations (Supabase, Figma→FigJam).",[22,5230,5231],{},"Cursor SDK exposes runtime\u002Fharnesses for CI\u002FCD\u002Fembedded agents, shifting to usage-based programmable infrastructure. VS Code adds semantic indexing, cross-repo search, chat insights, skill context.",[22,5233,5234],{},"Agentic Harness Engineering iterates revertible components\u002Fevidence\u002Fpredictions: Terminal-Bench pass@1 jumps 69.7%→77% (beats human Codex-CLI at 71.9%), transfers models, cuts SWE-bench tokens 12%. HALO self-patches via trace analysis: AppWorld 73.7→89.5 on Sonnet 4.6.",[22,5236,5237],{},"LangChain's Harness Profiles version model-specific prompts\u002Ftools; DeepAgents Deploy uses markdown\u002Fconfig + LangSmith tracing. Cloudflare exposes agent-accessible business flows (accounts\u002Fdomains\u002Fpaid plans).",[22,5239,5240,5242],{},[4992,5241,5220],{},": Engineer harnesses first—evals show 7-15% lifts vs. model swaps; use OSS harnesses\u002Fprofiles for cost; deploy headless runtimes for automations.",[17,5244,5246],{"id":5245},"open-models-kernels-push-edgeenterprise-inference","Open Models + Kernels Push Edge\u002FEnterprise Inference",[22,5248,5249],{},"Open-weight pressure: Mistral Medium 3.5 (dense 128B, vision reasoning, 64GB RAM local, 128K context) bets enterprise reliability over benchmarks. IBM Granite 4.1 (30B\u002F8B\u002F3B Apache 2.0) excels openness\u002Ftoken efficiency—8B uses 4M output tokens (vs. Qwen3.5 9B's 78M) for AA Intelligence Index 61. Ant Ling-2.6 (~107B MoE, MIT, 61.2 SWE-bench); Tencent Hy-MT1.5-1.8B-1.25bit (440MB phone translator, 33 langs\u002F1056 directions, matches 235B via quantization). Pricing crashes: Qwen 3.5 Plus $3\u002FM output; MiMo-V2.5 Pro shifts Code Arena Pareto at $1\u002F$3\u002FM.",[22,5251,5252],{},"Kernels optimize: Qwen FlashQLA delivers 2-3x forward\u002F2x backward on long-context (TileLang, gate-CP, fused kernels) for edge agents. vLLM on Blackwell: DeepSeek V3.2 #1 at 230 tok\u002Fs\u002F0.96s TTFT; Qwen 3.5 397B via NVFP4\u002FEAGLE3. torch.compile details FX passes; GLM-5 postmortem fixes KV races\u002FHiCache\u002FLayerSplit for 132% prefill throughput.",[22,5254,5255],{},"IKP probes leak scale: factual accuracy (1,400 Qs\u002F188 models\u002F27 vendors) correlates R²=0.917 with params (135M-1.6T), rejecting 'knowledge compression.'",[22,5257,5258,5260],{},[4992,5259,5220],{},": Run open models locally\u002Fedge for cost (e.g., 64GB RAM vision); fuse kernels for 2x+ speed on long-context agents; probe black-boxes for hidden scaling.",{"title":65,"searchDepth":66,"depth":66,"links":5262},[5263,5264,5265],{"id":5205,"depth":66,"text":5206},{"id":5224,"depth":66,"text":5225},{"id":5245,"depth":66,"text":5246},[103],{"content_references":5268,"triage":5288},[5269,5274,5277,5281,5284],{"type":5270,"title":5271,"url":5272,"context":5273},"podcast","SemiAnalysis","https:\u002F\u002Fwww.latent.space\u002Fp\u002Fvaluemule","cited",{"type":4542,"title":5275,"url":5276,"context":5273},"NVIDIA GTC coverage","https:\u002F\u002Fwww.latent.space\u002Fp\u002Fainews-nvidia-gtc-jensen-goes-hard",{"type":4542,"title":5278,"author":5279,"context":5280},"Agentic Harness Engineering","omarsar0","mentioned",{"type":4542,"title":5282,"author":5283,"context":5280},"HALO","samhogan",{"type":5285,"title":5286,"author":5287,"context":5280},"paper","Incompressible Knowledge Probes (IKP)","bojie_li",{"relevance":4647,"novelty":4647,"quality":4548,"actionability":66,"composite":5289,"reasoning":5290},3.05,"Category: AI & LLMs. The article discusses the increasing demand for AI inference compute and its implications for product builders, which aligns with the audience's interest in AI engineering. However, while it provides some insights into the current state of AI compute, it lacks specific actionable steps or frameworks that the audience could implement.","\u002Fsummaries\u002Finference-inflection-ai-compute-demand-explodes-10-summary","2026-05-03 17:02:00",{"title":5195,"description":65},{"loc":5291},"381f203051596d3a","Latent Space (Swyx + Alessio)","https:\u002F\u002Fwww.latent.space\u002Fp\u002Fainews-the-inference-inflection","summaries\u002Finference-inflection-ai-compute-demand-explodes-10-summary",[89,88,90,91],"AI has reached the inference inflection—token generation compute up 10,000x, total demand 1M x—sparking CPU shortages from refresh cycles + agent\u002FRL workloads, GPU prefill\u002Fdecode disaggregation, and harness engineering yielding 69.7%→77% Terminal-Bench gains.",[90,91],"ObgDJaDpX-xzn0f1c78z1Tj-WuV1R9E0vTENbF7NhbU"]