CamelAI tech stack
AI Data Analyst - Chat with your data
The stack
“Django makes my life easy. I've used it at least 4 projects. It's been around for a while so it's stable and LLMs have a ton of knowledge about it. It's a great project that I will continue to use for life.” — the maker, Sep 2026 ↗
“DuckDB powers our analytics engine for SQLite, CSV, Excel files and more. We couldn't have built CamelAI without DuckDB. It's enabled us to execute SQL queries that used to take minutes in seconds.” — the maker, Sep 2026 ↗
“Postgres is so nice to work with. pg_dump was a lifesaver when we had to move database providers. Extensions like pgvector make it the best database for building AI apps.” — the maker, Sep 2026 ↗
“liteLLM is a must for working with different models. We use different models for different tasks and subtasks. With liteLLM the code stays exactly the same and we can just focus on choosing the right prompts and models for the task.” — the maker, Sep 2026 ↗
Built on a similar stack
Products that share the most distinctive building blocks with CamelAI.