You will get Ask Your Database: A Fully Local Text-to-SQL Assistant
Project details
Most teams sit on a database only a few people can query. This project closes that gap: you ask in plain English and get the answer from your live database, along with the SQL that produced it - so every number traces back to a query you can read and re-run.
Everything runs on your own machine. The model is served locally by Ollama: no API key, no cloud call, no data leaving your network - which matters when the database holds customer or financial records.
Accuracy comes from grounding, not guessing. Before every question the schema is read live: tables, columns, ENUM values, foreign keys and the real values of small text columns, so the query filters on the value your data stores, not the one the user typed. A semantic layer records the join paths that look correct but quietly return wrong answers.
Safety is layered. A parser rejects anything that is not a single SELECT, a row limit and timeout are injected into every query, and the connection itself is a SELECT-only user. Two independent things must fail before a write is possible.
You get a clean interface showing the SQL, results, a chart and CSV export - plus the full source code and setup documentation.
Everything runs on your own machine. The model is served locally by Ollama: no API key, no cloud call, no data leaving your network - which matters when the database holds customer or financial records.
Accuracy comes from grounding, not guessing. Before every question the schema is read live: tables, columns, ENUM values, foreign keys and the real values of small text columns, so the query filters on the value your data stores, not the one the user typed. A semantic layer records the join paths that look correct but quietly return wrong answers.
Safety is layered. A parser rejects anything that is not a single SELECT, a row limit and timeout are injected into every query, and the connection itself is a SELECT-only user. Two independent things must fail before a write is possible.
You get a clean interface showing the SQL, results, a chart and CSV export - plus the full source code and setup documentation.
Database Type
MySQL, MS SQL, SQLiteWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 8 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Source Code |
About Tushar
Data Scientist | Generative AI (LLM/RAG) | AI/ML/NLP/Computer Vision |
Delhi, India - 2:10 pm local time
- Proven track record in developing and deploying end-to-end AI solutions for real-world business problems, with hands-on expertise in Python, SQL, LangChain, AWS, TensorFlow, and PyTorch.
- Built conversational AI systems integrated with multi-agent architectures, SQL coders, and real-time speech interfaces, enabling interactive, data-driven storytelling and smart document querying.
- Experienced in large-scale document processing pipelines, combining OCR and non-OCR methods for extracting structured insights from unstructured PDFs (25,000+ pages).
- Proficient in speech-related applications—delivered high-performance Text-to-Speech (TTS) and Speech Emotion Detection (SED) models, optimizing quality using advanced audio processing and deep learning techniques.
- Strong foundation in data science: exploratory data analysis, regression, statistical modeling, and visualization to extract actionable insights and support business decisions.
- Published researcher in computer vision and speech AI, showcasing a commitment to innovation, optimization, and impactful AI development.
- Adept at collaborating across teams and domains, aligning AI strategies with business goals, and mentoring junior members to foster a culture of experimentation and delivery excellence.
- Passionate about solving complex problems at scale using AI and automation—transforming manual workflows into intelligent, efficient systems.
Steps for completing your project
After purchasing the project, send requirements so Tushar can start the project.
Delivery time starts when Tushar receives requirements from you.
Tushar works on your project following the steps below.
Revisions may occur after the delivery date.
Schema review and question walkthrough
I load your schema, run the introspection, and go through your sample questions to find the traps: ambiguous join paths, look-alike columns, and values stored differently from the way people say them.
Local model and read-only database user
Install and configure Ollama with a model that fits your hardware, then create the SELECT-only database user the app connects as. Nothing in the stack is able to write to your data.