H
coding

Haystack (OSS)

Open source framework from deepset for building RAG pipelines, agents and search over private data with tracing and eval integrations.
rag search agents
Beginner Level
Free
Starting Price
Try Haystack (OSS)
Category
coding
Setup Time
< 2 minutes
coding
Category
Beginner
Difficulty
Active
Status
Web App
Type

What is Haystack (OSS)?

Discover how Haystack (OSS) can enhance your workflow

Haystack is a modular Python framework for retrieval augmented generation, agents and production search. You compose nodes for indexing, retrieval, reranking, prompting, tool use and output formatting, then run pipelines locally or in containers. It supports vector stores, BM25, hybrid search, document stores, streaming chunkers and common embedding backends, so teams can standardize on one abstraction while swapping components. Tracing hooks and evaluation modules integrate with deepset Studio and other observability tools to compare retrievers, prompts and models using automatic and rubric based metrics. Starter templates cover chat over docs, semantic search and extraction, while tutorials help teams connect cloud object stores and handle chunking, deduplication and metadata filters. Because it is Apache licensed, Haystack fits regulated environments that prefer self hosted stacks, and it pairs well with deepset Cloud for managed runtimes when needed.

Key Capabilities

What makes Haystack (OSS) powerful

Nodes and pipelines

Chain retrievers rerankers LLMs and tools into reproducible pipelines with config and code.

Implementation Level Professional

Tracing and evals

Measure quality and latency with built in evals and traces that plug into observability.

Implementation Level Professional

Backends and stores

Switch vector DBs models and chunkers without rewriting application code.

Implementation Level Intermediate

APIs and templates

Use starters for chat over docs and deploy as services or batch jobs.

Implementation Level Intermediate

Professional Integration

These capabilities work together to provide a comprehensive AI solution that integrates seamlessly into professional workflows. Each feature is designed with enterprise-grade reliability and performance.

Key Features

What makes Haystack (OSS) stand out

  • Pipelines for RAG QA and agents
  • Document stores vector DBs hybrid search
  • Integration with rerankers and LLMs
  • Evaluation and tracing modules
  • Templates for chat over docs
  • Streaming chunkers and metadata filters
  • CLI and Python SDK for devs
  • Self hosted friendly with OSS license

Use Cases

How Haystack (OSS) can help you

  • Stand up chat over wikis and PDFs
  • Unify search across knowledge bases
  • Prototype agents that call tools
  • Compare retrievers and prompts
  • Build governed RAG inside VPC
  • Automate extraction and routing
  • Serve semantic answers in apps
  • Teach RAG patterns to teams

Perfect For

ml engineers data platform teams enterprise architects and researchers who want a transparent OSS stack for RAG and agents

Pricing

Start using Haystack (OSS) today

Free

Starting price

Get Started

Quick Information

Category coding
Pricing Model Freemium
Last Updated 1/9/2026

Tags

rag search agents python open-source

Compare Haystack (OSS) with Alternatives

See how Haystack (OSS) stacks up against similar tools

Haystack (OSS) VS Adrenaline Haystack (OSS) VS Amazon CodeWhisperer Haystack (OSS) VS Anthropic API

Frequently Asked Questions

How is Haystack licensed and priced?
Haystack is open source and free to use under a permissive license, managed deepset Platform tiers are optional for hosted runtimes.
Does it work with my vector database?
Yes, integrations exist for popular vector stores and traditional indexes so you can run hybrid search.
Can I evaluate changes before release?
Built in eval and tracing help compare prompts retrievers and models with shareable reports.
Is there a quick way to start?
Templates and tutorials cover chat over documents semantic search and extraction with minimal setup.
Can I deploy in a private VPC?
Yes, Haystack runs self hosted and is commonly deployed in private cloud or on premises.

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