truefoundry/cognita
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
This framework helps developers quickly build, organize, and deploy Retrieval Augmented Generation (RAG) applications that can answer questions based on specific documents or data. It takes in various document types (text, audio, video) and uses them to power a question-answering system. Data scientists and machine learning engineers who need to move RAG prototypes from notebooks to production-ready systems would use this.
4,329 stars. Actively maintained with 2 commits in the last 30 days.
Use this if you are a developer looking to build modular, scalable, and API-driven RAG applications with support for incremental data indexing and a user-friendly frontend.
Not ideal if you need a simple, actively maintained RAG library for quick experimentation or if you are not a developer building a production system.
Stars
4,329
Forks
365
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 23, 2026
Commits (30d)
2
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