deepset
Build and scale AI agents and RAG apps faster
Founded
2018
Starting Price
$0
Category
Developer Tools
Last updated April 27, 2026
About deepset
deepset is an enterprise AI platform built around Haystack, an open-source Python framework for creating production-ready LLM applications, RAG pipelines, and AI agents. The platform offers a visual pipeline builder, managed deployment options, and enterprise-grade security, helping teams go from prototype to production with model-agnostic AI workflows.
Pros & Cons
Pros
- Strong open-source foundation with 24,000+ GitHub stars on Haystack
- No vendor lock-in — supports any LLM and vector store interchangeably
- Production-grade deployment from managed cloud to air-gapped on-premise
- Broad compliance certifications for regulated industries
- End-to-end platform covering building, testing, deployment, and monitoring
Key Features
Haystack Open-Source Framework
Modular Python framework for building LLM pipelines and agent workflows with explicit control over retrieval, routing, and generation
Visual Pipeline Builder
Drag-and-drop interface for designing AI pipelines without writing boilerplate code
RAG Pipeline Support
Built-in retrieval augmented generation with hybrid retrieval, self-correction loops, and citation tracking
AI Agent Orchestration
Production-ready autonomous agents with tool calling, branching, and looping for multi-step decisions
Model Agnostic Integration
Works with OpenAI, Anthropic, Mistral, Hugging Face, Weaviate, Pinecone, and more — no vendor lock-in
Flexible Deployment
Cloud, VPC, on-premises, and air-gapped deployment with auto-scaling
Observability & Monitoring
Groundedness tracking, usage reporting, and full logging with configurable retention
Pricing
Studio (Free)
$0
- 1 workspace
- 1 user
- 100 pipeline hours
- 50 files (10MB max)
- 2 dev pipelines
Best For
Enterprise Semantic Search
Replace keyword search with context-aware semantic search over company documents and knowledge bases
RAG Document Intelligence
Build Q&A systems over large document corpora with source citations and groundedness tracking
AI Agent Workflow Automation
Deploy autonomous agents that reason across tools and data sources for multi-step business processes
Intelligent Document Processing
Extract and analyze data from PDFs, tables, and mixed-format documents at scale
