mohit15150501/rag-knowledge-base

RAG Knowledge Base

Ingest documents → chunk → embed → retrieve → answer with source citations. Runs fully in-browser-friendly demo mode (in-memory vector store + local embeddings, no API keys). Load the sample docs and ask a question.

Source: <https://github.com/mohitgadhvi1020/rag-knowledge-base>