Haystack

About Haystack AI

Flexible Framework for Custom AI Applications

Haystack is a powerful open-source framework developed by deepset that helps developers build robust and scalable applications powered by large language models (LLMs). Designed with modular components and adaptable architecture, Haystack enables teams to craft everything from simple RAG setups to complex multi-agent AI systems tailored to specific business workflows.

Built for Developers and Teams

Whether you're prototyping a search engine or deploying a conversational assistant in production, Haystack gives you the freedom to customize and control every part of your pipeline. It’s engineered to support advanced use cases in natural language processing (NLP), semantic search, question answering, and beyond.

How Haystack Works

Component-Based Pipelines

Haystack's architecture revolves around pipelines that are easy to design and scale. Each component—retrievers, readers, generators, rankers—can be added, removed, or swapped to suit your application needs.

You can connect Haystack with:

• Retrieval systems like Elasticsearch or Weaviate
• Vector databases like Pinecone or Qdrant
• LLMs from providers like OpenAI, Anthropic, Mistral, and more

Drag-and-Drop with deepset Studio

For faster iteration, Haystack offers deepset Studio, a visual interface where users can:

• Build AI pipelines without writing code
• Upload documents or connect to databases
• Test, debug, and export their apps
• Deploy locally or via cloud with ease

Production-Ready by Design

Scalable Deployment Options

Haystack was made for scale. Its pipelines are fully serializable and ready for Kubernetes-native deployment. With built-in monitoring and logging, you can maintain visibility and control over AI workflows in production environments.

Cloud & On-Prem Support

You can deploy Haystack applications across major cloud platforms or your own infrastructure. Deployment templates and guides are available for various configurations.

Key Use Cases

Retrieval-Augmented Generation (RAG)

Haystack simplifies the creation of applications that combine traditional search with LLM output, enabling users to retrieve accurate, source-grounded answers in real time.

Agentic Workflows

Design multi-step, tool-using agents that can perform tasks autonomously, such as data summarization, customer support, or content generation.

Chatbots and Search Assistants

From question-answering bots to intelligent document search tools, Haystack allows you to embed language understanding capabilities directly into your products.

Why Choose Haystack?

Open Source and Community-Driven

Haystack is free to use and backed by a strong community of developers and AI practitioners. Its open-source nature allows transparency, flexibility, and continuous innovation.

Interoperability

Easily integrate Haystack into your tech stack. It plays well with various LLM providers, databases, and data sources—giving you total freedom of implementation.

Built by deepset

The creators of Haystack, deepset, offer tools, support, and an enterprise-ready platform to scale your AI apps faster with enhanced features, deployment pipelines, and security.

Join the Haystack Community

Get involved and stay updated through:

• Discord for real-time collaboration
• GitHub Discussions for technical support
• Open NLP meetups and virtual events
• Community challenges and workshops