cognita
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry (by truefoundry)
maxtext
A simple, performant and scalable Jax LLM! (by google)
cognita | maxtext | |
---|---|---|
4 | 5 | |
2,658 | 1,334 | |
66.6% | 11.4% | |
8.9 | 9.7 | |
6 days ago | 3 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cognita
Posts with mentions or reviews of cognita.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-29.
- FLaNK AI Weekly for 29 April 2024
- Show HN: Cognita – open-source RAG framework for modular applications
-
Dream – A Distributed RAG Experimentation Framework
Hi, I've come across an open-source API-driven RAG framework launched recently. It's different from other frameworks in a lot of context. Give it a try and let me know your thoughts: https://github.com/truefoundry/cognita
maxtext
Posts with mentions or reviews of maxtext.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-06-14.
- Cost Per 1M tokens Of Self Hosting Llama-3
- FLaNK AI Weekly for 29 April 2024
-
Maxtext: A simple, performant and scalable Jax LLM
This might be a tangent, but why does JAX only support the saving / serialization of AOT compilation executables for TPU [1]? It would be great to have the ability to save compiled functions and not have to JIT compile something every time you restart a session.
(Julia used to have this problem too, but they've made great progress on caching JIT compiled functions to reduce latency.)
[1]: https://github.com/google/maxtext?tab=readme-ov-file#ahead-o...
- Google’s maxtext – A simple, performant and scalable Jax LLM
What are some alternatives?
When comparing cognita and maxtext you can also consider the following projects:
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
EasyLM - Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
warc-gpt - WARC + AI - Experimental Retrieval Augmented Generation Pipeline for Web Archive Collections.