AmadeusITGroup/docs2vecs
CLI that helps with docs splitting, embedding and exposing them in a seamless manner
Supports pluggable data source connectors (Confluence, Azure storage) and multiple vector store backends through a skill-based pipeline architecture defined via YAML config. Includes a local ChromaDB server mode for interactive RAG prototyping with semantic search, plus Azure AI Search integrated vectorization for enterprise deployments. Built with Python and managed via `uv` for reproducible dependency management.
Stars
6
Forks
8
Language
Python
License
MIT
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/AmadeusITGroup/docs2vecs"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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