Source checked · Research

llmware

Unified framework for building enterprise RAG pipelines with small, specialized models.

Best for: Python teams prototyping one named RAG workflow and selecting only the models, parsers, embeddings, and databases it requires.

Limitations: Loading enterprise documents before every model, parser, vector store, external service, retention policy, and deletion path is reviewed.

Public use

14,813 GitHub stars · 2,910 forks

Activity

Release v0.4.6 on 14 Apr 2026 · repository updated 17 May 2026

Community

71 open issues · Discussions available

Checked

14 Jul 2026

Source facts only. Not tested or recommended by Agent Blocks.