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
- An Introduction to Google’s Approach to AI Agent Security - 15th June 2025
- Design Patterns for Securing LLM Agents against Prompt Injections - 13th June 2025
- Comma v0.1 1T and 2T - 7B LLMs trained on openly licensed text - 7th June 2025