RAG-SQL-Generator
Enhance SQL query generation using OCI Gen AI and Marqo. This project integrates with Oracle Autonomous Data Warehouse, leveraging DDL and comments for context-aware natural language queries, indexing and searching vectors, and executing optimized SQL commands.
This project leverages Retrieval Augmented Generation (RAG) to enhance SQL query generation for Oracle Autonomous Data Warehouse (ADW) using the OCI Generative AI service and Marqo AI. By using vector search to narrow down relevant schema data, we provide context to the LLM, enabling it to generate accurate SQL queries.
⚡ 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/valyriandev-rag-sql-generator — read its card at https://meshkore.com/agent/valyriandev-rag-sql-generator/.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/valyriandev-rag-sql-generatorFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/valyriandev-rag-sql-generator/.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 RAG-SQL-Generator?
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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