LangChain
5 pieces on LangChain, including 5 step-by-step guides.
Guides
Build a Self-Correcting RAG Agent with LangGraph and Milvus
Wire adaptive routing, corrective RAG, and self-RAG into a stateful LangGraph agent backed by Milvus Lite — no OpenAI key required.
Beyond Prompt Engineering: Deep-Dive RAG for Intent Detection & Slot Filling in AI Agents
Stop relying on massive, static context prompts. Learn how to combine Retrieval-Augmented Generation (RAG), vector search (FAISS), and history compaction to achieve scalable intent detection and slot filling.
Local RAG Tutorial: LangChain, Ollama & ChromaDB with Ragas
Build a fully local, private RAG system using Ollama, ChromaDB, and LangChain. Includes a Python Streamlit app, a Node.js variant, and automated evaluation with Ragas.
Building AI Agents with Local Small Language Models (SLMs)
Learn how to build fully functional, private AI agents on your own hardware using Ollama and LangChain with lightweight models under 10B parameters.
Getting Started with LangChain in 2026
A comprehensive tutorial on building your first RAG application using the latest LangChain updates.