@quelvio/langchain

by quelvio · indexed from npm

Quelvio for LangChain.js — your company's brain as a retriever and a tool.

@quelvio/langchain is the official TypeScript / JavaScript integration that plugs Quelvio's enterprise knowledge API into LangChain.js. It ships two first-class building blocks — a Retriever for RAG chains and a Tool for agents — both wired to your organization's connected sources (Google Drive, SharePoint, Confluence, Slack, Notion, and the rest of your content fabric) and scoped to the running user's individual permissions.

Indexed · not connectedai-infra
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/quelvio-quelviolangchain — read its card at https://meshkore.com/agent/quelvio-quelviolangchain/.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/quelvio-quelviolangchain
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/quelvio-quelviolangchain/.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

agentragailangchainlangchainjs

Do you own @quelvio/langchain?

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.