haystack VS llama_index

Compare haystack vs llama_index and see what are their differences.

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. (by deepset-ai)
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haystack llama_index
54 75
13,633 30,910
5.8% 7.6%
9.9 10.0
2 days ago 4 days ago
Python Python
Apache License 2.0 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.

haystack

Posts with mentions or reviews of haystack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-07.

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 haystack and llama_index you can also consider the following projects:

langchain - 🦜🔗 Build context-aware reasoning applications

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

gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

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

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

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

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

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

jina - ☁️ Build multimodal AI applications with cloud-native stack

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.