Build a Text-to-SQL AI Assistant with DeepSeek, LangChain and Streamlit

In this video, we will build a Text-to-SQL converter using Deepseek, LangChain, and Streamlit to transform natural language queries into SQL, based on your database schema. I will guide you step by step through setting up Ollama's Deepseek LLM model, connecting to your database to extract the schema, using LangChain to communicate with the LLM, and building a simple Streamlit UI so you can generate SQL queries on the fly.

If you’re curious about how to leverage LLMs for SQL generation, or want to learn how to use Deepseek, LangChain, and Streamlit together for real-world applications, this tutorial is for you.

#deepseek #langchain #ollama #streamlit #sql

[majidnasiri]

Thanks for sharing, It's really good start to get information from database to answer a question. But, When having large database with many tables and columns the accouracy drops.

[Avocado-wp]

Great tutorial! Could you elaborate on how this setup handles complex multi-table SQL joins efficiently?

[_paliwalgaurav]

How does it differ from BigQuery from Google?