autogen VS llama_index

Compare autogen vs llama_index and see what are their differences.

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autogen llama_index
32 75
25,506 31,389
7.7% 5.3%
9.9 10.0
3 days ago 4 days ago
Jupyter Notebook Python
Creative Commons Attribution 4.0 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.

autogen

Posts with mentions or reviews of autogen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-02.

llama_index

Posts with mentions or reviews of llama_index. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-01.

What are some alternatives?

When comparing autogen and llama_index you can also consider the following projects:

Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/AutoGPT]

langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]

semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps

langchain - 🦜🔗 Build context-aware reasoning applications

SuperAGI - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

AgentVerse - 🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

gpt-llama.cpp - A llama.cpp drop-in replacement for OpenAI's GPT endpoints, allowing GPT-powered apps to run off local llama.cpp models instead of OpenAI.