deepset
Build and scale AI agents and RAG apps faster
Founded
2018
Starting Price
\u00240
Category
Developer Tools
Last updated March 5, 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)
\u00240
- 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
