RAG

Agents forget everything between sessions. Here are the patterns that fix that: CLAUDE.md persistence, RAG retrieval, context compression, and conversation summarization.

How RAG works, why it matters, and how to implement it in TypeScript. The technique that lets AI models use your data without fine-tuning.

Most popular LLM framework. 100K+ GitHub stars. Chains, RAG, vector stores, tool use. LangGraph adds stateful multi-agent workflows with cycles and persistence.

TypeScript-first AI agent framework. Workflows, RAG, tool use, evals, and integrations. Built for production Node.js apps. Open-source.

LLM data framework for connecting custom data sources to language models. Best-in-class RAG, data connectors, and query engines. Python and TypeScript.