- Teams building production RAG systems with complex document processing pipelines
- Developers who need a modular, enterprise-grade LLM framework with explicit pipeline control
- Organizations deploying semantic search and QA systems across large document collections
Memory Systems
haystack
Open-source AI orchestration framework for building production-ready LLM applications with modular pipelines and RAG.
25K Stars
Apache-2.0 License
2.8K Forks
Open source
About
haystack overview
Haystack by deepset is an open-source framework for building production-ready LLM applications. It provides modular pipeline architecture for retrieval-augmented generation, semantic search, question answering, and agent workflows — with built-in support for dozens of model providers, vector databases, and document stores.
Rag
haystack surfaces rag as a core capability in its published project metadata and source links.
This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs.Memory
haystack surfaces memory as a core capability in its published project metadata and source links.
This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs. Use cases
When to use haystack
Personal memory
Use it as a candidate for personal memory when the project facts, license, and official links match your deployment requirements.
Compare
How it compares
When to choose haystack
Compare it with nearby memory systems by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.
FAQ
Questions
What is Haystack best used for?
Haystack excels at RAG pipelines, semantic search, document QA, and any LLM workflow that requires controlled retrieval and generation steps.
Does Haystack support vector databases?
Yes, Haystack integrates with over a dozen vector databases including Pinecone, Weaviate, Qdrant, and Milvus.
Is Haystack open source?
Yes, Haystack is open source under the Apache-2.0 license with 25K+ GitHub stars.
Can I use Haystack with any LLM provider?
Yes, Haystack supports dozens of model providers through its generator and embedder components, including OpenAI, Cohere, and local models.
Tags
Capabilities
Decision brief
JSON
Should you use haystack?
- Quick prototyping or single-model experiments (use a simpler library for those use cases)
- Pure chatbot applications that don't need retrieval or document processing
- Verified 2026-06-03
- License: Apache-2.0
- Repo: deepset-ai/haystack
- Open-source signal
Deployment
cloud
Permission surface
memory, messages
Decision signals
No extra signals recorded
Agent packet
Structured decision data for haystack
This packet is the compact machine-readable view agents should use before following source links or taking action.
Capabilities
rag, memory
Constraints
open source
Deployment
cloud
Permission surface
memory, messages
Recommended workflows
Coding agent workflow, Memory or RAG workflow
Overview
What haystack does
What it is
Haystack is deepset's open-source framework for building production LLM applications. It uses a modular pipeline architecture for RAG, semantic search, QA, and agent workflows with extensive integration support.
Why it matters
Haystack is one of the few LLM frameworks battle-tested in enterprise production environments, with comprehensive documentation and an active community.
How to evaluate it
Evaluate haystack by starting from the official sources, checking its repo interface surface, and running one narrow workflow before expanding scope. Recorded integrations include memory systems.
Facts
Known metadata and operating surface
These fields are separated from editorial interpretation so agents can reason over facts and missing checks.
Resource type memory system
Category Memory Systems
Maturity active
Difficulty Unknown
License Apache-2.0
Pricing open source
Verified 2026-06-03
Source confidence high
Risk level low
Fit matrix
Where haystack fits in an agent stack
strong
Coding agent workflow
haystack has multiple signals for coding agent workflow, including matching tags, capabilities, category, or positioning.
- Run a small repository change and inspect the diff, tests, and rollback path.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
strong
Memory or RAG workflow
haystack has multiple signals for memory or rag workflow, including matching tags, capabilities, category, or positioning.
- Create, update, retrieve, correct, and delete memory or retrieval objects with real data.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Evaluation and observability
haystack has at least one signal for evaluation and observability, but should be checked against a real task before adoption.
- Add one repeatable test case and confirm results can run again in review or CI.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Reusable skill workflow
haystack has at least one signal for reusable skill workflow, but should be checked against a real task before adoption.
- Run one skill end to end and check whether it produces evidence or structured output.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak
Browser automation
haystack is not primarily positioned for browser automation in the current metadata.
- Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak
Connector or protocol layer
haystack is not primarily positioned for connector or protocol layer in the current metadata.
- Connect one low-risk service, then inspect schemas, auth scope, errors, and logs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
Inputs and outputs
What an agent should inspect
Likely inputs
- Repositories, files, issues, terminal output, and test results
- Documents, user facts, entities, context, or retrieval queries
- Prompts, messages, documents, images, or model inputs
- Official setup instructions and a small real workflow
Likely outputs
- Diffs, commits, explanations, test results, or review notes
- Retrieved context, memory updates, graph relations, or citations
- Scores, traces, regression results, dashboards, or failure cases
- A decision on whether this resource fits the target workflow
Evidence
Sources, claims, and missing checks
Claims are marked separately from source links so future crawlers and reviewers can update them without rewriting the page.
GitHub github
Repository source for code, license, issues, releases, and implementation details.
Homepage homepageOfficial or project-controlled source for this resource profile.
haystack is listed as open source.
License metadata: Apache-2.0haystack has a recorded GitHub repository: deepset-ai/haystack.
Resource facts and GitHub source link.haystack supports these recorded deployment modes: cloud.
OpenAgent decision signal metadata.haystack is tagged with rag, memory capabilities.
OpenAgent capability taxonomy.- Dedicated docs link is missing.
- Repository freshness has not been recorded.
Next action
How to start evaluating haystack
Inspect repository
Check license, recent activity, issues, examples, and security-sensitive code paths.
Open sourceOpen Homepage
Start from the official source before adopting third-party instructions.
Open source Compare
Alternatives and nearby resources
Use related resources to compare category fit, license, deployment model, and first-workflow behavior.
FAQ
Common questions about haystack
What is Haystack best used for?
Haystack excels at RAG pipelines, semantic search, document QA, and any LLM workflow that requires controlled retrieval and generation steps.
Does Haystack support vector databases?
Yes, Haystack integrates with over a dozen vector databases including Pinecone, Weaviate, Qdrant, and Milvus.
Is Haystack open source?
Yes, Haystack is open source under the Apache-2.0 license with 25K+ GitHub stars.
Can I use Haystack with any LLM provider?
Yes, Haystack supports dozens of model providers through its generator and embedder components, including OpenAI, Cohere, and local models.