Haystack vs Semantic Kernel
Detailed side-by-side comparison to help you choose the right tool
Haystack
Agent Frameworks
Framework for RAG, pipelines, and agentic search applications.
Starting Price
Custom
Semantic Kernel
Agent Frameworks
SDK for building AI agents with planners, memory, and connectors.
Starting Price
Custom
Feature Comparison
| Feature | Haystack | Semantic Kernel |
|---|---|---|
| Category | Agent Frameworks | Agent Frameworks |
| Pricing Plans | 19 tiers | 11 tiers |
| Starting Price | ||
| Key Features |
|
|
Haystack - Pros & Cons
Pros
- ✓Purpose-built for RAG and search-augmented AI pipelines
- ✓Modular pipeline architecture with swappable components
- ✓Open-source with strong community and deepset backing
- ✓Supports multiple vector stores and retrieval strategies out of the box
- ✓Excellent documentation with practical tutorials
Cons
- ✗Primarily focused on retrieval — less suited for general agent orchestration
- ✗Pipeline complexity grows with advanced multi-step workflows
- ✗Cloud features (deepset Cloud) require separate subscription
- ✗Can be resource-intensive for large-scale document processing
Semantic Kernel - Pros & Cons
Pros
- ✓First-class support for C# and .NET alongside Python
- ✓Backed by Microsoft with enterprise-grade stability
- ✓Plugin architecture makes it easy to extend with custom skills
- ✓Strong integration with Azure AI services and OpenAI
- ✓Well-suited for enterprise environments already using Microsoft stack
Cons
- ✗Smaller community compared to Python-first frameworks
- ✗Documentation can be fragmented across C# and Python versions
- ✗Less mature agent orchestration compared to dedicated agent frameworks
- ✗Azure-centric patterns may not suit multi-cloud strategies
Ready to Choose?
Read the full reviews to make an informed decision