teamunitlab/rag-document-app
This FastAPI-based RAG service processes OCR data, generates embeddings using OpenAI, and utilizes Pinecone as a vector database for search. It answers questions based on search results using OpenAI.
This tool helps you quickly get answers from your documents by transforming PDFs, images, and soon web pages into an intelligent knowledge base. You feed in your files, and it allows you to ask questions and receive specific answers and relevant snippets directly from their content. It's ideal for anyone who needs to extract information efficiently from a large volume of unstructured text and images.
No commits in the last 6 months.
Use this if you need to rapidly search and get precise answers from a collection of diverse documents without manually reading through them.
Not ideal if you prefer a graphical user interface for interacting with your documents or if you don't have access to OpenAI, Pinecone, and AWS S3 services.
Stars
17
Forks
7
Language
Python
License
—
Category
Last pushed
Jul 19, 2024
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/rag/teamunitlab/rag-document-app"
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