Top 9 Python chromadb Projects
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AGiXT
AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
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langchain-chatbot
AI Chatbot for analyzing/extracting information from data in conversational format.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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NeoGPT
Chat effortlessly, execute commands, and interpret code with Llama3, Phi3, and more - your local AI assistant. Enjoy seamless interaction while ensuring ultimate privacy
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SearchWithOpenAI
Quick start. Index multiple documents in a repository using HuggingFace embeddings. Save them in Chroma and / or FAISS for recall. Choose OpenAI or Azure OpenAI APIs to get answers to your questions - Q&A with OpenAI and Azure OpenAI.
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OSGPT
OSGPT is a powerful plugin designed to dynamically load documents from specified folders and create searchable vector databases. Not only does it offer a quick way to query from your documents, but it also allows you to execute CLI commands on the host system, be it Linux/Unix or Windows.
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delta-buddy
Introducing Delta-Buddy: Your ultimate Delta Lake companion! 🚀 Streamline your data journey with an AI-powered chatbot. Ask Delta-Buddy anything about your Delta Lake.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
If you are more interested in AI assistants check out AGiXT. It has some really cool features but it is under heavy development. Not everything works jet and updates break sometimes already working functions. But it is still far better than babyAGI and other proof of concepts.
We have built Legalyze.ai, a tool for lawyers to query thousands of files at once. We are using Langchain in coordination with GPT-4 and Pinecone to query massive sets of data at once.
Lawyers can also generate procedural documents like motions and requests using their case as context.
Contact [email protected] for a trial and check out our open source project - https://github.com/Haste171/langchain-chatbot
On BrainChulo, we’re going 100% guidance mode, see for instance an implementation of Chain of Thoughts on top of a thin guidance wrapper: https://github.com/ChuloAI/BrainChulo/blob/main/app/guidance_tooling/guidance_agent/agent.py
One of the most interesting projects I came across this month was NeoGPT. It's a GPT based application that is being built to converse with documents and videos. While still in its infancy, the project has outlined a cool roadmap and has a very active base of contributors continuously expanding on its functionality. The project appeals to my desire to learn how to work with AI and neural networks. It is also at a development stage that it is not outside of the reach of my comprehension. Icing on the cake being it's Py based, which is my sharpest tool at the moment. I see it as a decent project to stay tapped into and grow my skills as the application develops.
Project mention: Open Source - OpenAI , Chroma , LangChain , HuggingFace sample | /r/OpenAIDev | 2023-05-22Check this out - https://youtu.be/q27RbxcfGvE. Demo on YouTube
Project mention: [P] Chat Your Way to File Content and Command Line Magic | /r/MachineLearning | 2023-10-21https://github.com/Ravi-Teja-konda/OSGPT 🎥 Watch the Demo Video Here
Project mention: A ChatBot with open source LLM to ask questions on your Delta Lake | news.ycombinator.com | 2023-06-18
I'm learning LLM at the moment, RAG particularly. [1]
I ended up built InkChatGPT as my learning project and it was huge fun. It is an AI Agent that could help learning from multiple documents and you can chat with it, thank Chat PDF GPT.
I use LangChain as LLM framework to simplify the backend, and using Streamlit as front end UI and deployment. Using OpenAI `gpt-3.5-turbo` model, Use HuggingFace embeddings to generate embeddings for the document chunks with `all-MiniLM-L6-v2` model.
To be honest, coming from Mobile development background, learning about ML and reading about LLM models, prompt tuning and various techniques really opens my mind, but the vast information and knowing how to start is difficult.
[1] InkChatGPT: https://github.com/vinhnx/InkChatGPT
I've been exploring several solutions, such as the one that I explain in my post about an AI-powered, python-based Telegram bot and the RAG assistant I created, everything-rag. Nevertheless, I needed something more direct and efficient, and Coze was a perfect match for me!
Python chromadb related posts
Index
What are some of the best open-source chromadb projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | AGiXT | 2,469 |
| 2 | langchain-chatbot | 376 |
| 3 | BrainChulo | 142 |
| 4 | NeoGPT | 61 |
| 5 | SearchWithOpenAI | 38 |
| 6 | OSGPT | 23 |
| 7 | delta-buddy | 9 |
| 8 | InkChatGPT | 6 |
| 9 | everything-ai | 8 |
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