Building a RAG System on Node.js
summary
Shows how to build a Retrieval-Augmented Generation (RAG) pipeline in Node.js that uses RSS feeds as the external data source. Covers choosing and comparing vector databases, embedding methods, testing strategies, and practical techniques for chunking/structuring (fragmenting) data to improve search and retrieval performance.
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chapters (8)
- 0:00RAG and neural networks
- 6:50What is RAG
- 20:27RAG data prep
- 30:20Document chunking
- 46:51Embeddings storage
- 1:02:34RAG ranking efficiency
- 1:14:33What is MCP
- 1:23:29RAG summary security
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