R2R VS SimplyRetrieve

Compare R2R vs SimplyRetrieve and see what are their differences.

SimplyRetrieve

Lightweight chat AI platform featuring custom knowledge, open-source LLMs, prompt-engineering, retrieval analysis. Highly customizable. For Retrieval-Centric & Retrieval-Augmented Generation. (by RCGAI)
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R2R SimplyRetrieve
4 1
1,232 189
24.0% -
9.7 8.8
6 days ago 3 months ago
Python Python
MIT License MIT License
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.

R2R

Posts with mentions or reviews of R2R. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-26.

SimplyRetrieve

Posts with mentions or reviews of SimplyRetrieve. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing R2R and SimplyRetrieve you can also consider the following projects:

txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

llmware - Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

canopy - Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

Dalle3 - An API for DALLE-3

awesome-refreshing-llms - EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.

Baichuan-7B - A large-scale 7B pretraining language model developed by BaiChuan-Inc.