Haystack
by deepset
LLM orchestration framework for building NLP applications
See All Agentic FrameworksOverview
Haystack is an end-to-end framework for building production-ready LLM applications. Specializes in RAG, semantic search, and question answering.
Key Statistics
Overall Rating
4.2/5
GitHub Stars
17,900
Last Updated
2025-10
Version
2.9.0
Features
RAG pipelines
RAG pipelines capabilities
Semantic search
Semantic search capabilities
Question answering
Question answering capabilities
Document retrieval
Document retrieval capabilities
Getting Started
Installation
pip install haystack-ai
Quick Start
Install Haystack and create pipeline
Code Example
from haystack import Pipeline
Pros & Cons
Advantages
Excellent for semantic search and RAG
Modular pipeline architecture
Strong deepset backing and support
Good documentation
Apache 2.0 license
deepset Cloud for managed hosting
Limitations
Primarily RAG-focused not general agents
Learning curve for pipeline design
Smaller community than LangChain
Agent features less mature
Technical Details
Primary Language
Python
Supported Languages
License
Apache-2.0
Enterprise Ready
Yes
Community Size
Large
Pricing
Open Source + Cloud
Free open source. deepset Cloud for managed hosting with custom enterprise pricing
Performance Metrics
easeOfUse
4/5
scalability
4/5
documentation
5/5
community
4/5
performance
4/5
Common Use Cases
Semantic document search
Question answering over documents
Retrieval-Augmented Generation
Information extraction pipelines
Conversational search
Agent-based document analysis
Ready to implement your own advanced use case?
Get started with Haystack today and build powerful AI applications.
Start BuildingExplore 1,000+ AI Tools
Browse tools from leading AI providers — search, scraping, enrichment, and more.
Browse xpay.tools