Awesome-RAG VS llama_index

Compare Awesome-RAG vs llama_index and see what are their differences.

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Awesome-RAG llama_index
1 76
155 32,094
- 7.4%
8.2 10.0
13 days ago about 21 hours ago
Python
- 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.

Awesome-RAG

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

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 Awesome-RAG and llama_index you can also consider the following projects:

open-webui - User-friendly WebUI for LLMs (Formerly Ollama WebUI)

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

FastGPT - FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

langchain - 🦜🔗 Build context-aware reasoning applications

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

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

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

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.

localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.