I will build a rag or text to sql ai agent to chat with your data


Level 2
About this gig
Want to ask your documents or database questions in plain English and get correct answers? I build RAG and text-to-SQL agents that answer from your own data and show where each answer came from.
What I build:
- Document Q&A (RAG) over PDFs, Word, Notion, Confluence, Google Drive or your website
- Text-to-SQL agents for PostgreSQL, MySQL, Snowflake, BigQuery and more
- Answers with sources or the SQL used, so your team can trust them
- An evaluation set to measure accuracy before launch
- Web chat, Slack or Teams bot, or an API your app can call
Why me: in my day job I build exactly this: a RAG data-discovery pipeline and an AI agent that writes SQL and builds BI charts, cutting manual modelling effort by 80%.
Stack: Python, OpenAI / Claude / Gemini or open-source LLMs, LangChain, LangGraph, LlamaIndex, pgvector, Pinecone, OpenSearch, FastAPI.
Tell me what data you have and the questions you want answered, and I'll suggest the right package.
Get to know Kumaresh Dey
AI Engineer for AI Agents, RAG, MCP and Claude Code, Python Backend
Level 2
- FromIndia
- Member sinceJul 2023
- Avg. response time1 hour
- Last delivery2 months
Languages
Hindi, English
My Portfolio
FAQ
How accurate will the answers be?
I build an evaluation set from your real questions and report accuracy before launch. Answers cite their source or show the SQL, so wrong answers are easy to spot.
Will my data be sent to OpenAI or other providers?
Only what each question needs, through your own API account. If data must stay in-house, I can use an open-source model hosted on your servers.
Can the text-to-SQL agent change my database?
No. It connects with a read-only user and runs only SELECT queries, with limits on query cost and result size.
