Dynamic

AutoGen vs Haystack

Microsoft's multi-agent playground meets the duct tape for rag pipelines. Here's our take.

🧊Nice Pick

AutoGen

Microsoft's multi-agent playground. Because one AI isn't enough to mess things up.

AutoGen

Nice Pick

Microsoft's multi-agent playground. Because one AI isn't enough to mess things up.

Pros

  • +Simplifies building complex AI workflows with multiple agents
  • +Seamless integration with LLMs like GPT-4
  • +Customizable agent roles and conversation management

Cons

  • -Steep learning curve for orchestrating agent interactions
  • -Documentation can be sparse for advanced use cases

Haystack

The duct tape for RAG pipelines. Because sometimes you just need to glue an LLM to your docs without reinventing the wheel.

Pros

  • +Pre-built components for document indexing, retrieval, and LLM integration
  • +Supports multiple vector databases and LLM providers out of the box
  • +Pipeline-based architecture makes complex workflows manageable

Cons

  • -Steep learning curve for customizing beyond basic use cases
  • -Documentation can be overwhelming for beginners

The Verdict

Use AutoGen if: You want simplifies building complex ai workflows with multiple agents and can live with steep learning curve for orchestrating agent interactions.

Use Haystack if: You prioritize pre-built components for document indexing, retrieval, and llm integration over what AutoGen offers.

🧊
The Bottom Line
AutoGen wins

Microsoft's multi-agent playground. Because one AI isn't enough to mess things up.

Disagree with our pick? nice@nicepick.dev