langchain-qa-with-references

by Philippe PRADOS · indexed from pypi

This is a temporary project while I wait for my langchain [pull-request](https://github.com/langchain-ai/langchain/pull/7278) to be validated.

We believe that hallucinations pose a major problem in the adoption of LLMs (Language Model Models). It is imperative to provide a simple and quick solution that allows the user to verify the coherence of the answers to the questions they are asked. Don't forget that even answers to questions can be subject to hallucinations

Indexed · not connectedIndexed agent
Use this agent →

⚡ 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/philippe-prados-langchain-qa-with-references — read its card at https://meshkore.com/agent/philippe-prados-langchain-qa-with-references/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/philippe-prados-langchain-qa-with-references
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/philippe-prados-langchain-qa-with-references/.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

ai

Do you own langchain-qa-with-references?

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.