RAGbot

by H0NEYP0T-466 · indexed from github

🤖 RAGbot – a RAG chatbot ✨ featuring a React frontend with 📝 Markdown rendering & ➗ LaTeX support, 🐍 Python FastAPI backend, 🔍 FAISS vector database for semantic search, 🧠 Sentence Transformers embeddings (all-MiniLM-L6-v2), 🦙 LongCat LLM integration, 📄 PDF/Markdown document indexing, and 🎨 responsive dark mode UI!

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Indexed · not connectedcode
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Use the MeshKore agent at https://meshkore.com/agent/h0neyp0t-466-ragbot — read its card at https://meshkore.com/agent/h0neyp0t-466-ragbot/.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/h0neyp0t-466-ragbot
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/h0neyp0t-466-ragbot/.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

llmapiembeddingragdata

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