Overview
Databao Context Engine is a local-first intelligent context engine that helps LLMs and AI agents truly understand your data. It's a Python library tool that parses your data sources and builds complete structured context on your local machine — so that LLMs and AI agents can give you accurate answers.
Most LLMs and AI tools fail to answer your questions accurately because they don't know your data. Databao Context Engine fixes that by extracting your date structure, relationships, and schemas to generate comprehensive context. It includes table schemas, column names, relationships, and metadata that helps AI tools give you accurate context-aware answers.
Databao Context EngineKey features
Automatic context extraction
Databao Context Engine analyzes your databases, BI tools, and other data sources and extracts schemas, metrics, and business definitions so that your AI tool can rely on the actual state of your data.
Private and local-first
Databao Context Engine runs locally, and your data context never leaves your machine.
Tool agnostic
Databao Context Engine generates context that can be used with Claude, ChatGPT, Cursor, Junie, or any other LLM tool.
Immediate results
Because LLMs and AI agents get complete pre-built context, you can get accurate answers right away, without having to rewrite prompts or provide additional details with every question.
Support for various data sources
Databao Context Engine can currently analyze data from SQL databases (Postgres, ClickHouse, MSSQL, MySQL, Snowflake, Athena), dbt projects, and unstructured files.
Ideal for team collaboration
Databao Context Engine projects can be stored in Git repositories so that everyone can access the same context and data.