Library support

• Langchain has a large ecosystem and can be extended to meet our needs.
• Dspy has a limited ecosystem and fewer external libraries.

Performance

Both have similar performance.

• Langchain is slow when using a vector DB, while using pgvector with plain SQL can achieve similar performance.

Template based responses in Dspy

• Input and output can be enforced using signature [similar to pydantic models]
• Pipelines can be built using modules

Prompt optimizer in Dspy

• Prompts can be optimized in DSPy using few-shot bootstrapping, MIPRO, and GEPA.