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Haystack

Haystack

Open Source(Apache-2.0)
AI-Native
Most customizable

Build custom AI agents and RAG applications with open AI orchestration

Public status page
No training on your data
Global
Self-hostable
MCP Ready
+3
Last updated: Aug 28, 2026
Open Source
Visit Site26.3k
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haystack.deepset.ai

Quick Answer

AI

Haystack is an open-source AI orchestration framework for building production-ready AI agents and RAG applications. It integrates with 170+ technologies including OpenAI, Anthropic, and various vector databases. Best for AI engineers and data scientists needing explicit control and scalability for their LLM-powered systems. Available as open-source with enterprise support options.

About HaystackAI

Haystack is an open-source AI orchestration framework for building production-ready AI agents, RAG applications, and multimodal search systems. It offers a modular framework for explicit control over retrieval, reasoning, memory, and tool use. Haystack integrates with major LLM providers and vector databases, enabling flexible and scalable AI workflows.

What Makes It UniqueAI

Haystack provides a modular, open-source framework for building AI agents and RAG applications with full visibility into every decision, allowing for deep inspection, debugging, and optimization of AI workflows.

AI-extracted from public sources. May contain errors. Methodology · Report an error

Decision Intelligence

Best For

AI
AI engineers building production-ready LLM applications
Data scientists creating scalable RAG systems
Developers needing explicit control over AI agent decisions
Teams integrating diverse AI models and data stores
Enterprises deploying AI workflows with reliability and observability

Consider Alternatives If

AI
Non-technical users seeking a no-code AI solution
Individuals looking for a simple, pre-built AI application
Teams without developer resources for custom AI development
Pricing Overview

Type

Open Source

Free Trial

No

Credit Card

Not Required

Free Plan

Yes

Dimension Scores

· 7.2 avg

How good it is, across universal quality axes

Ease of Use4/10
Output Quality8/10
Value for Money7/10
Customization8/10
Support8/10
Integration10/10
Accuracy & Reliability9/10
Compliance & Data Protection3/10
Performance8/10
AI-analyzed from product data·Medium confidenceHow we score

Task Scores

· 8.5 avg

What it can do, on category-specific tasks

Third Party Connectors10/10
Custom Logic9/10
Database Integration8/10
Deployment Ease7/10

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Capabilities
Agent
RAG
Automation
Memory
Data Analysis
Embedding
Extraction
Observability
ProsAI
  • +Open-source framework with active community support
  • +Modular design allows for flexible component mixing
  • +Full visibility and debuggability of AI agent decisions
  • +Extensive integrations with LLMs, vector databases, and tools
  • +Supports both cloud and on-premise deployments
  • +Provides unified tooling for development and production
LimitationsAI
  • -Requires technical expertise for advanced customization
  • -Enterprise features and support are part of a separate paid offering
  • -Learning curve for new users unfamiliar with AI orchestration concepts
  • -Reliance on external model providers for core AI capabilities
  • -Community support may vary for less common integrations
Fit Score

Complexity

Advanced

Company Size

Small
Medium
Enterprise

Target Team Size

Small Team
Large Team

Target Skill Level

Expert
Technical Specifications
SDK Available
MCP Compatible
Team Features
Webhook Support
Has DemoOpen demo
Function Calling
Sandbox Mode
Audit Logs
No Signup
Works Offline (unknown)
Requires Host App
Framework
MCP Server
Inference API
Developer Access
API
Public
Deployment:
Self Hosted
Runtime:
CUDA
CPU
Max upload:200MB
Response time (est.):
Fast
MCP Servers:
Memory
Compliance, Privacy & Trust
GDPR (as claimed): No
SOC 2 (as claimed): No
HIPAA (as claimed): No
Privacy & data handling
Trains on user data: No
Human review:
Recommended

The Model(s) Behind It

Model details — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

Training Data Provenance
Not disclosed
Relevant to EU AI Act Art. 53 / Annex XI (GPAI)
Integrations & Connections
31 connections
H
A
+27
Arize Phoenix
Arize Phoenix

The open-source platform for agent development & evaluation

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Call AIMLAPI's OpenAI-compatible chat models from Haystack pipelines and agents.

AL
AlloydbNative

Document Store for storing and retrieval from Google Cloud AlloyDB with pgvector

AL
AlphaaiNative

AI-scored financial news and SEC Form 4 insider events as Haystack Documents

AM
Amazon BedrockNative

Use Models from AI21 Labs, Anthropic, Cohere, Meta, and Amazon via Amazon Bedrock with Haystack

AM
Amazon SagemakerNative

Use Models from Huggingface, Anthropic, AI21 Labs, Cohere, Meta, and Amazon via Amazon Sagemaker with Haystack

AM
Amazon TextractNative

Use Amazon Textract with Haystack to extract text, tables, forms, and answers to queries from documents

Auto-updated

Build a Stack
Video

Trust Score

70/100

Good

Based on 8 data signals

Confidence: Medium

Reflects publicly available data, not an independent audit

Compliance & Verified8/38
Human ReviewYes
Operational35/35
Uptime (measured)99.998%
Status PageYes
Data ResidencyEU, US
Market Proof10/10
Notable CustomersLufthansa Industry Solutions, Accenture, NVIDIA
Company17/17
Company ListedYes
Team Size51-200
FundingSeries B
Health

Not yet checked

AI-Assisted Data

Some details are AI-generated estimates — verify with the vendor.

AI-generated estimate: Best For, Description, Limitations, Not Good For, Pros, Quick Answer, What Makes Unique

How we source data

AI Governance & Regulatory Disclosures

Legally-sensitive fields — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

EU AI Act Risk Tier
Unclassified
EU AI Act Article 50 Disclosure
Not declared
COPPA Compliance (US under-13)
Not declared

Switching & Migration

Migration Difficulty
Significant Effort
Data portable as:
CSV
MD
JSON
PDF
TXT

Discord, GitHub

Quick Stats
PlatformsAPI
Integrations30+
Launched2020
Company & Links
Companydeepset GmbH
Founded2018
Based inGermany
Last major updateJul 2026
FundingSeries B · $46M
DocumentationChangelog
All Features
Modular AI agent orchestration
Full visibility and debuggability
Integrates with major LLM providers
Supports various vector databases
Unified tooling for prototype to production
Cloud-agnostic and Kubernetes-ready pipelines
Multimodal AI capabilities
Advanced RAG strategies
Open Source
Free
  • Open Source AI framework
  • Build production-ready LLM-powered agents and applications
  • Community support
Enterprise Support
Custom
  • Private, secure engineering support
  • Best practices templates & deployment guides
  • Access to flexible services
  • Flexible pricing based on company size
AI Orchestration Platform
Custom
  • Visual, code-aligned pipeline design
  • Data, retrieval, and testing workflows
  • Secure access controls and auditability
  • Scalable cloud or on-prem deployment

User Reviews

No reviews yet. Be the first to review!

Who It's For
4 roles
Software DevelopersComputer ProgrammersWeb Developers+1 more
Platform, Content & Languages
4 content types
1 languages
TextCodeImageEnglish+13 more

Content Types

Text
Code
Image
Audio

Accepts

Text
Image
Audio
Document
PDF
URL
API

Produces

Text
Image
Audio
Document
API
Languages: English

Frequently Asked Questions