Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
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SQL databases in Python, designed for simplicity, compatibility, and robustness.
- python
- sql
- sqlalchemy
- pydantic
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
TranslatedDeepAnalyze is the first agentic LLM for autonomous data science. 🎈Your AI data analyst, automatically analyzes large amounts of data and generates professional analysis reports with one click!