Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit
Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it ideal for efficient document retrieval and summarization.
The Retrieval Augmented Engine (RAG) is a powerful tool for document retrieval, summarization, and interactive question-answering. This project utilizes LangChain, Streamlit, and Pinecone to provide a seamless web application for users to perform these tasks. With RAG, you can easily upload multiple PDF documents, generate vector embeddings for text within these documents, and perform conversational interactions with the documents. The chat history is also remembered for a more interactive experience.
⚡ 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/mirabdullahyaser-retrieval-augmented-generation-engine-with-langchain-and-stream — read its card at https://meshkore.com/agent/mirabdullahyaser-retrieval-augmented-generation-engine-with-langchain-and-stream/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/mirabdullahyaser-retrieval-augmented-generation-engine-with-langchain-and-streamFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mirabdullahyaser-retrieval-augmented-generation-engine-with-langchain-and-stream/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit?
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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