varun-soni-ai/RAG-Ollama-Chat-with-PDF
This application allows users to upload PDF files, process them, and ask questions about the content using a locally hosted language model. The system uses Retrieval-Augmented Generation (RAG) to provide accurate answers based on the uploaded PDFs.
This helps you quickly get answers from large PDF documents using natural language questions. You upload one or more PDFs, and the system processes them to create a searchable knowledge base. You then ask questions about the content, and it provides accurate, context-aware answers pulled directly from your documents. This is ideal for researchers, analysts, or anyone who needs to extract specific information from extensive reports or papers without reading them cover-to-cover.
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Use this if you need to rapidly find specific information or insights buried within multiple large PDF documents and prefer asking questions in plain English.
Not ideal if you need to process scanned images of text, handwritten notes, or require highly complex analytical tasks beyond direct information retrieval.
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11
Forks
2
Language
Python
License
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Category
Last pushed
Oct 24, 2024
Commits (30d)
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/varun-soni-ai/RAG-Ollama-Chat-with-PDF"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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