RAG-PDF-Search
A Streamlit-based Retrieval-Augmented Generation (RAG) application that enables searching within PDF files using Ollama and DeepSeek R1. It leverages FAISS for vector search, HuggingFace embeddings, and LangChain for document retrieval and response generation in Arabic.
RAG-PDF-Search is a Retrieval-Augmented Generation (RAG) application built with Streamlit, designed for intelligent searching within PDF documents. By leveraging Ollama and DeepSeek R1, it provides highly relevant, context-aware responses based on document content. The application also supports Arabic text processing and delivers concise answers to user queries.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/naso7y-rag-pdf-search — read its card at https://meshkore.com/agent/naso7y-rag-pdf-search/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/naso7y-rag-pdf-searchFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/naso7y-rag-pdf-search/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own RAG-PDF-Search?
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.
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