LLM-RAG-Bot

by nur-zaman · indexed from github

A Discord bot that seamlessly executes bleeding-edge Retrieval-Augmented Generation (RAG) in tandem with a Large Language Model (LLM), specifically ChatGPT.

This Discord bot utilizes the Retrieval-Augmented Generation (RAG) approach to enhance the output of a large language model by referencing an authoritative knowledge base outside of its training data sources. The bot is designed to interact with users through Discord slash commands, allowing them to query an underlying knowledge base for relevant information.

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/nur-zaman-llm-rag-bot — read its card at https://meshkore.com/agent/nur-zaman-llm-rag-bot/.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/nur-zaman-llm-rag-bot
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nur-zaman-llm-rag-bot/.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

llmrag

Do you own LLM-RAG-Bot?

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.