ai-agent

Local_Pdf_Chat_RAG: Smarter QA

Get retrieval-augmented generation with Local_Pdf_Chat_RAG, ideal for founders new to NLP and QA tools
946 stars179 forksPythonGuide quality 8/10Updated 8/16/2026100% free · open source
What it does

Local_Pdf_Chat_RAG generates human-like text based on the content of local PDF files using retrieval-augmented generation, ideal for founders new to NLP and QA tools

When to use it
  • You need to generate text based on a large corpus of local PDF files
  • You want to build a QA system that can retrieve information from local PDF files
  • You are looking for a simple, pure Python implementation of a RAG framework
Ready-to-paste prompt
Run `python app.py -p 'What is the main topic of the PDF file called example.pdf?'` to generate a response based on the content of the `example.pdf` file
Heads up: Make sure you have the required dependencies, including FAISS and BM25, installed and configured correctly, as specified in the README
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/local-pdf-chat-rag && curl -fsSL https://workflowstacks.com/api/skills/local-pdf-chat-rag/claude-skill -o ~/.claude/skills/local-pdf-chat-rag/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions
Details
Creator
weiwill88
Language
Python
Category
ai-agent
Published
2/1/2025

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