Graph
Agentic RAG with LangGraph: retrieve inside the loopGraph lab you run this week: checkpointed retrieval, not a paper on embedding-model science.
LangChainEditorial
Setting type
Claude Computing
Pulling labs, repos, and the catch-up path…
Harnesses, graphs, loops, APIs you call this week — tagged with Ng’s application skills. Not a training desk. New here is the decoder. Starting a project this week? Catch up is the four-skill map — not more news.
No splash for Grounding / RAG. The lanes below still scan.
Cookbooks for building AI apps: context, harness, graphs, cloud.
Graph
Agentic RAG with LangGraph: retrieve inside the loopGraph lab you run this week: checkpointed retrieval, not a paper on embedding-model science.
LangChainEditorial
Harness, loops, graphs, MCP, permissions, evals as acceptance.
No Grounding / RAG headlines in this lane.
Clone-to-ship: RAG, eval harnesses, agent wrappers. Not train-a-model.
Repo
run-llama/llama_indexThe default RAG data framework: ingest, index, retrieve. Grounding before you wrap an agent.
GitHub10h ago52k ★Live
Repo
deepset-ai/haystackPipelines for retrieval and eval, not a chatbot skin. How you ship grounding in production.
GitHub22h ago26k ★Live
Repo
vibrantlabsai/ragasGrounding is the underweight skill on this board: get the right facts in, then wrap. Not a chatbot story.
GitHubFeb 2416k ★Live
Repo
sandbaseai/deepseek-harness-handbookAgent-first DeepSeek Harness handbook: 173 source-backed runtime, plugin, MCP, sandbox, evaluation, troubleshooting, multilingual, and 74-resource Awesome ecos… Clone-to-ship: RAG, eval, or an agent wrapper.
GitHub4m ago91 ★Live
Repo
letta-ai/lettaStateful agents with memory that lasts longer than a context window. Grounding that survives the next call.
GitHub6d ago24k ★Live
Repo
Aleph-Alpha-Research/eval-frameworkComprehensive LLM evaluation at scale: A production-ready framework for evaluating large language models across multiple benchmarks. Clone-to-ship: RAG, eval, or an agent wrapper.
GitHub54m ago41 ★Live
Watchlist posts for people building AI apps. Originals, not architecture notes.
Graph
Ng graph engineering: loops into working graphs (2h)Agentic knowledge graphs as app craft: first agent, how loops work, freeze them into graphs. Not a training lecture.
Anatoli Kopadze / X3d agoEditorial
Graph
Memory vs graphs: a pile vs a routeMemory is continuity. The graph is who may retrieve and write back. Routing, not a bigger embedding store.
Lunar / X5d agoEditorial
Graph
Ng’s agentic knowledge graphs course (1h)Persistent context for agents you ship: build the graph, then the multi-agent system. Not a grind thread.
Swati Gupta / X4d agoEditorial
FDE
12 FDE projects: enterprise deploy constraintsMulti-tenant, SSO, customer RAG with permissions, on-prem deploy. The FDE job, not a tutorial binge.
Suraj Sharma / XAug 9Editorial