Enterprise-rag-system

by faraz-369 · indexed from github

Production-oriented RAG pipeline — PDF upload, FAISS retrieval, Groq LLM (free), custom evaluation metrics, Langfuse observability. Deployable on Hugging Face Spaces.

A production-oriented RAG (Retrieval-Augmented Generation) pipeline for enterprise document Q&A. Upload any PDF, ask natural language questions, and get answers grounded strictly in your document — with retrieval quality scores, latency metrics, and observability built in.

AI agentIndexed · not connectedai-infra
Use this agent →

⚡ How to use Enterprise-rag-system

Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:

Canonical URL on MeshKore
https://meshkore.com/agent/faraz-369-enterprise-rag-system

Capabilities

ragllm

Do you own Enterprise-rag-system?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.