haystack
An open-source AI orchestration framework for building production-grade LLM applications.
- Type
- MCP
- Open source
- Yes
- GitHub Stars
- ★ 26.1k
- Source
- mcp-github
- Repository
- github.com/deepset-ai/haystack
Overview
Haystack is an open-source AI orchestration framework designed for building production-grade LLM applications with context engineering. It enables the design of modular pipelines and agent workflows, offering explicit control over retrieval, routing, memory, and generation. Suitable for building scalable agents, RAG systems, multimodal applications, semantic search, and conversational systems. After installation via pip, it can be easily integrated and configured. Ideal for developers needing to build complex AI systems.
Capabilities
- ▪Modular pipeline design
- ▪Agent workflow control
- ▪Retrieval and routing management
- ▪Memory and generation control
- ▪Support for multimodal applications
- ▪Semantic search and question answering
Use cases
Setup
pip install haystack-ai
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
What language models does Haystack support?
Supports various mainstream LLMs, such as Hugging Face models.
How do I get started with Haystack?
After installation, refer to the quick start guide in the official documentation.
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