Project Title

haystack — AI Orchestration Framework for Customizable LLM Applications

Overview

Haystack is an AI orchestration framework designed to build customizable, production-ready applications using Large Language Models (LLMs). It allows developers to connect various components such as models, vector databases, and file converters to pipelines or agents that can interact with data. With advanced retrieval methods, Haystack is well-suited for building RAG, question answering, semantic search, and conversational agent chatbots.

Key Features

Flexible pipeline and agent architecture for building LLM applications
Support for various models, vector databases, and file converters
Advanced retrieval methods for efficient data interaction
Built for RAG, question answering, semantic search, and chatbots

Use Cases

Building Retrieval-Augmented Generation (RAG) models
Developing question answering systems
Implementing semantic search functionalities
Creating conversational agent chatbots

Advantages

Customizable and production-ready LLM applications
Easy integration of different components into pipelines or agents
Advanced retrieval methods for improved data interaction
Supports a wide range of use cases, from RAG to chatbots

Limitations / Considerations

May require significant setup and configuration for complex applications
Performance may vary depending on the choice of models and databases
Limited documentation on specific use case implementations

Hugging Face Transformers: A library of pre-trained models for NLP, with a focus on model training and inference. Haystack differs by providing an orchestration framework for building end-to-end LLM applications.
Rasa: An open-source conversational AI framework for building chatbots. Haystack offers more flexibility in terms of model and database integration for building chatbots and other LLM applications.
LangChain: A framework for building applications with LLMs, focusing on modularity and composability. Haystack provides a more comprehensive solution for integrating various components into LLM applications.

Basic Information

GitHub: https://github.com/deepset-ai/haystack
Stars: 22,139
License: Unknown
Last Commit: 2025-09-07

📊 Project Information

Project Name: haystack
GitHub URL: https://github.com/deepset-ai/haystack
Programming Language: Python
⭐ Stars: 22,139
🍴 Forks: 2,333
📅 Created: 2019-11-14
🔄 Last Updated: 2025-09-07

🏷️ Project Topics

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