spring-ai-local-cli-chatbot
Experience a fully local, Spring AI-powered CLI chatbot using RAG, supporting various document types for domain-specific Q&A—all running entirely on your machine with no external services required.
This project is a fully local AI chatbot built with Spring AI and RAG (Retrieval-Augmented Generation). It runs in a CLI (Command Line Interface) environment, ensuring privacy and offline functionality without external dependencies. By default, it uses Ollama for both LLM and embedding models, but it also supports other Spring AI-compatible providers. The chatbot processes various document types, including PDF, DOCX, TXT, and HTML, extracting and vectorizing text for domain-specific Q&A.
⚡ 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/jm-lab-spring-ai-local-cli-chatbot — read its card at https://meshkore.com/agent/jm-lab-spring-ai-local-cli-chatbot/.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.
https://meshkore.com/agent/jm-lab-spring-ai-local-cli-chatbotFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jm-lab-spring-ai-local-cli-chatbot/.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
Do you own spring-ai-local-cli-chatbot?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.