ragql
This project implements a local-first RAG chat system that reads and processes various text-based log files. It splits the content into manageable chunks, generates embeddings using Ollama or OpenAI, and allows users to interactively query the logs for specific information. The application features a customizable response format and supports configuration for user preferences.
RagQL is a local-first Retrieval-Augmented Generation (RAG) system designed for natural language Q\&A over your logs and databases. It provides a modular chat-like interface that can index and query local data sources such as log files and SQLite .db database files. With RagQL, you can ask questions about the contents of your logs or databases and get answers powered by a large language model, all while keeping your data private on your own machine.
⚡ 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/cristian-camargo-filho-ragql — read its card at https://meshkore.com/agent/cristian-camargo-filho-ragql/.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/cristian-camargo-filho-ragqlFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/cristian-camargo-filho-ragql/.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 ragql?
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.
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