DSPy Compiler
Capabilities & Summary
Framework for compiling and optimizing language model prompts and retrieval pipelines.
Primary Use Cases
programmatic-prompt-optimization
Implemented Concepts & Architecture
Retrieval-Augmented Generation
An architectural pattern that dynamically retrieves relevant external information and injects it into an LLM's prompt window to ground text generation in factual, up-to-date knowledge.
Advanced RAG
A sophisticated architecture for Retrieval-Augmented Generation that incorporates multi-stage processing like pre-retrieval query rewriting, hybrid search, second-stage re-ranking, and post-retrieval context compression.
Product Category
Parent Entity
Stanford DSPy →Framework for programmatically compiling declarative LM prompts and retrieval pipelines.