{"library":"mongodb-rag","type":"library","category":null,"description":"MongoDB RAG v0.83.0 is a JavaScript/TypeScript library that simplifies Retrieval Augmented Generation (RAG) using MongoDB Atlas Vector Search. It provides vector search, batch processing, index management, in-memory caching, and advanced chunking strategies (sliding window, semantic, recursive). Includes a CLI for scaffolding RAG apps and configuration. Released under Apache-2.0, updated regularly with minor releases every few weeks. Key differentiator: tight integration with MongoDB Atlas, built-in chunking, and CLI tooling compared to generic vector search libraries.","language":"javascript","status":"active","version":"0.83.0","tags":["javascript","mongodb","vector-search","rag","embeddings","semantic-search","cli","vector-database"],"last_verified":"Fri Jun 05","install":[{"cmd":"npm install mongodb-rag","imports":["import { MongoRAG } from 'mongodb-rag'","import { ChunkingStrategy } from 'mongodb-rag'"]},{"cmd":"yarn add mongodb-rag","imports":[]},{"cmd":"pnpm add mongodb-rag","imports":[]}],"homepage":"https://github.com/mongodb-developer/mongodb-rag#readme","github":"https://github.com/mongodb-developer/mongodb-rag","docs":null,"changelog":null,"pypi":null,"npm":"mongodb-rag","openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}