NeumTry/NeumAI
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
This framework helps developers integrate custom business data with Large Language Models (LLMs) to provide contextualized responses. It takes data from various sources like databases or document storage, processes it into vector embeddings, and stores these embeddings in vector databases. The output is a robust, scalable system for Retrieval Augmented Generation (RAG) that allows LLMs to access relevant, up-to-date information.
867 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a developer building applications that require LLMs to accurately answer questions or generate text based on your organization's specific data, and you need a scalable way to manage and synchronize vector embeddings.
Not ideal if you are looking for a no-code solution or a direct end-user application to interact with LLMs, as this is a developer framework.
Stars
867
Forks
51
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 15, 2024
Commits (30d)
0
Dependencies
28
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