rhuanbarros/llm-rag-agent-knowledgebase
Full-stack artificial intelligence project with both backend (Langchain, Langgraph) and frontend (C# Blazor) components
This tool helps you quickly get answers and insights from your collection of documents. You feed it various file types, and it allows you to chat with an AI agent about their content or search for specific information across all your uploaded files. This is ideal for researchers, analysts, or anyone who needs to extract knowledge efficiently from a large set of texts without manually sifting through each one.
No commits in the last 6 months.
Use this if you need to rapidly ingest a large number of diverse documents and then interactively query them for information, saving significant time compared to manual review.
Not ideal if your primary need is complex data analysis or statistical modeling rather than conversational information retrieval from text.
Stars
3
Forks
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Language
Jupyter Notebook
License
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Category
Last pushed
Jul 25, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/rhuanbarros/llm-rag-agent-knowledgebase"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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