metaskills/lambda-rag
📦 Open Source Projectmetaskills
A serverless Retrieval Augmented Generation (RAG) chat demo built with Node.js, Express, and OpenAI.
LambdaRAG is a specialized implementation of a RAG pipeline, focusing on the synergy between serverless computing and generative AI. The project leverages Node.js and Express to handle API requests, connecting them to OpenAI's models to provide intelligent, context-grounded responses. By utilizing a retrieval mechanism, the system allows the AI to access external data sources, significantly reducing hallucinations and improving the accuracy of responses based on specific document sets.
Key technical features include a modular architecture suitable for deployment on AWS Lambda, making it a cost-effective solution for developers. The repository is structured to demonstrate the full lifecycle of a RAG query: from document ingestion and vectorization to retrieval and final generation. It is an excellent resource for developers who want to understand the practical plumbing required to move beyond simple chat interfaces and into domain-specific AI applications.
💡Highlights
- ├─Serverless RAG architecture
- ├─OpenAI API integration
- └─Node.js and Express backend
🎯For
- ├─Full-stack developers
- └─Serverless architects