tanmayrawal-rag-document-qa
RAG-powered document question-answering using FAISS vector search, Sentence Transformers, and Groq LLM for grounded answers from private documents.
- Score
- 38.4121 signal
- Evidence
- 3 stars
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
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What it is
MCP server RAG Document Q&A, catalogued on PulseMCP. RAG-powered document question-answering using FAISS vector search, Sentence Transformers, and Groq LLM for grounded answers from private documents.
When to use it
RAG-powered document question-answering using FAISS vector search, Sentence Transformers, and Groq LLM for grounded answers from private documents.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.