pdf-q-a-llamaindex-llama2
Chat with your PDF files using LlamaIndex, Astra DB (Apache Cassandra), and Gradient's open-source models, including LLama2 and Streamlit, all designed for seamless interaction with PDF files.
Build a PDF Document Question Answering System with Llama2, LlamaIndex I'll walk you through the steps to create a powerful PDF Document-based Question Answering System using using Retrieval Augmented Generation. We'll harness the power of LlamaIndex, enhanced with the Llama2 model API using Gradient's LLM solution, seamlessly merge it with DataStax's Apache Cassandra as a vector database. This innovative blend unlocks exciting opportunities for immersive interactions with pdf documents through engaging conversations.
⚡ 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/bhattbhavesh91-pdf-q-a-llamaindex-llama2 — read its card at https://meshkore.com/agent/bhattbhavesh91-pdf-q-a-llamaindex-llama2/.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/bhattbhavesh91-pdf-q-a-llamaindex-llama2For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/bhattbhavesh91-pdf-q-a-llamaindex-llama2/.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 pdf-q-a-llamaindex-llama2?
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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