Fleet Context. This project took the source code and documentation for 1221 popular Python libraries and ran them through the OpenAI text-embedding-ada-002 embedding model, then made those pre-calculated embedding vectors available as Parquet files for download from S3 or via a custom Python CLI tool.
I haven’t seen many projects release pre-calculated embeddings like this, it’s an interesting initiative.
Recent articles
- How StrongDM's AI team build serious software without even looking at the code - 7th February 2026
- Running Pydantic's Monty Rust sandboxed Python subset in WebAssembly - 6th February 2026
- Distributing Go binaries like sqlite-scanner through PyPI using go-to-wheel - 4th February 2026