Haystack

v2.x

deepset

Agentragsearchopen-source
82
Strong
About This Agent

Open-source NLP framework for building production-ready LLM applications, RAG pipelines, and semantic search systems. Modular architecture with pre-built components for document processing, retrieval, and generation.

Last Evaluated: November 9, 2025
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability
+
rag accuracy

RAG pipeline benchmarking

Evidence
Haystack RAG — Optimized for retrieval-augmented generation workflows
highVerified: 2025-11-09
document retrieval

Retrieval accuracy testing

Evidence
Retriever Components — Multiple retriever types: BM25, embedding-based, hybrid
highVerified: 2025-11-09
pipeline flexibility

Architecture assessment

Evidence
Pipeline Architecture — Composable pipelines with custom components
highVerified: 2025-11-09
llm integration

LLM integration testing

Evidence
Generator Components — Supports OpenAI, Anthropic, Cohere, HuggingFace models
highVerified: 2025-11-09
document processing

Document processing testing

Evidence
Preprocessors — Supports PDF, DOCX, HTML, TXT with text chunking
highVerified: 2025-11-09
latency

Performance benchmarking

Evidence
Performance — Latency depends on retrieval, LLM calls, and document count
mediumVerified: 2025-11-09
🛡️Security
+
self hosted

Deployment security assessment

Evidence
Deployment Options — Full self-hosting with Docker, Kubernetes support
highVerified: 2025-11-09
api security

API security review

Evidence
REST API — Basic auth available, additional security user-implemented
mediumVerified: 2025-11-09
data privacy

Data flow analysis

Evidence
Open Source — Data stays local when self-hosted, no telemetry
highVerified: 2025-11-09
open source transparency

Open source assessment

Evidence
GitHub — Apache 2.0 license, 17k+ stars, active development
highVerified: 2025-11-09
document storage security

Storage security assessment

Evidence
Document Stores — Security depends on chosen document store (Elasticsearch, etc.)
mediumVerified: 2025-11-09
🔒Privacy & Compliance
+
data retention

Privacy architecture review

Evidence
Document Store Control — Full control over document storage and retention policies
highVerified: 2025-11-09
gdpr compliance

Compliance capabilities assessment

Evidence
Self-Hosted Option — GDPR compliance possible with self-hosted deployment
mediumVerified: 2025-11-09
local deployment

Deployment options assessment

Evidence
Deployment — Complete local deployment with local LLMs possible
highVerified: 2025-11-09
llm data sharing

Data flow analysis

Evidence
LLM Integration — Data sent to LLM provider unless using local models
mediumVerified: 2025-11-09
no telemetry

Telemetry assessment

Evidence
Open Source — No telemetry in open-source version
highVerified: 2025-11-09
👁️Trust & Transparency
+
documentation quality

Documentation completeness review

Evidence
Haystack Docs — Excellent documentation with tutorials and examples
highVerified: 2025-11-09
open source

Open source assessment

Evidence
GitHub — Apache 2.0, 17k+ stars, transparent development
highVerified: 2025-11-09
pipeline traceability

Traceability features assessment

Evidence
Pipeline Debugging — Debug mode with step-by-step pipeline execution tracking
highVerified: 2025-11-09
community support

Community engagement analysis

Evidence
Community — Active Discord, GitHub discussions, and forum
highVerified: 2025-11-09
⚙️Operational Excellence
+
ease of integration

Integration complexity assessment

Evidence
Integrations — 100+ integrations with document stores, LLMs, embedders
highVerified: 2025-11-09
scalability

Scalability testing

Evidence
Scaling Guide — Horizontal scaling with Kubernetes and load balancing
mediumVerified: 2025-11-09
cost predictability

Pricing model analysis

Evidence
Open Source — Free framework, costs for infrastructure and LLM APIs
highVerified: 2025-11-09
monitoring

Monitoring features assessment

Evidence
Monitoring — Basic logging, requires external monitoring tools
mediumVerified: 2025-11-09
production readiness

Production readiness assessment

Evidence
Production Deployment — Production-ready with REST API and Docker support
mediumVerified: 2025-11-09
modular architecture

Architecture assessment

Evidence
Components — Highly modular with composable components
highVerified: 2025-11-09
Strengths
  • +Open-source (Apache 2.0) specialized for RAG and semantic search
  • +Modular architecture with 100+ pre-built integrations
  • +Excellent documentation and active community (17k+ stars)
  • +Supports multiple LLM providers and local models
  • +Production-ready with REST API and container deployment
  • +Strong document retrieval and processing capabilities
Limitations
  • !Requires ML/NLP expertise for optimal pipeline configuration
  • !Limited built-in monitoring and observability features
  • !Setup complexity higher than managed services
  • !Performance tuning requires deep understanding
  • !Limited agent-like autonomous behavior capabilities
  • !Document store choice affects performance and cost significantly
Metadata
license: Apache 2.0
supported models
0: OpenAI
1: Anthropic
2: Cohere
3: HuggingFace
4: Local LLMs
programming languages
0: Python
deployment type: Self-hosted (Docker, Kubernetes) or deepset Cloud
tool support
0: Document stores
1: Vector DBs
2: Embedding models
3: LLMs
pricing model: Free open source (deepset Cloud managed service available)
github stars: 21400+
first release: 2019
supported document stores: Elasticsearch, OpenSearch, Weaviate, Pinecone, Qdrant, Milvus
use case focus: RAG, semantic search, question answering
version: 2.x
eol notice: Haystack 1.x reached end-of-life March 11, 2025

Use Case Ratings

customer support

Good for knowledge base-powered support with RAG

code generation

Can integrate code-focused LLMs but not specialized

research assistant

Excellent for document analysis and research synthesis

data analysis

Good for text analytics, limited for numerical data

content creation

Can support with RAG-based content generation

education

Excellent for building educational Q&A systems

healthcare

Good for medical literature search and synthesis

financial analysis

Self-hosted option suitable for compliance

legal compliance

Excellent for legal document search and analysis

creative writing

Limited creative capabilities, better for research