freelawproject/inception
Our microservice for generating embeddings from blocks of text
Combines SentenceTransformers with intelligent sentence-boundary chunking to embed legal documents efficiently—queries run on CPU for speed, while longer court opinions leverage GPU acceleration with configurable token limits and overlap ratios. Built as a FastAPI service with Prometheus metrics, Sentry error tracking, and batch processing capabilities, it targets legal document similarity and semantic search workflows.
Stars
33
Forks
10
Language
Python
License
BSD-2-Clause
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
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