Topic

LangChain RAG with Vector Databases

6 posts on langchain rag with vector databases — part of framework tutorials on the n4n AI blog.

Using pgvector with LangChain for production RAG

Practical guide to building langchain pgvector production rag systems: schema, ingestion, tuning, and pitfalls for serving real traffic on Postgres.

July 19, 20263 min read

Framework tutorialsTutorial

LangChain RAG tutorial: Chroma plus n4n.ai models

Build a retrieval-augmented generation pipeline with LangChain and Chroma using n4n.ai models via an OpenAI-compatible endpoint. Hands-on tutorial with runnable code.

July 19, 20262 min read

Framework tutorialsComparison

Comparing Pinecone and Chroma for LangChain RAG apps

Head-to-head comparison of Pinecone vs Chroma for LangChain RAG apps across cost, latency, ergonomics, and limits, with a verdict per use case.

July 19, 20266 min read

Framework tutorialsGuide

Chunking strategies for LangChain RAG pipelines

A practical guide to langchain rag chunking strategies: fixed-size, semantic, and recursive splitting with code, tradeoffs, and common pitfalls.

July 19, 20264 min read

Framework tutorialsHow-to

Build a RAG pipeline with LangChain and Pinecone

Build a langchain pinecone rag pipeline from scratch: install deps, chunk docs, embed to Pinecone, query with LangChain retrieval chains, and verify.

July 19, 20263 min read

Framework tutorialsHow-to

Build a RAG chatbot with LangChain, LanceDB, and n4n.ai

A practical end-to-end tutorial for engineers: build a LangChain LanceDB n4n.ai RAG chatbot with vector search and OpenAI-compatible LLM calls.

July 19, 20262 min read