ai-engineer-rag-implementation-retrieval-process

# ai-engineer-rag-implementation-retrieval-process

## Contents

__Roadmap info from [ roadmap website ] (https://roadmap.sh/ai-engineer/retrieval-process@OCGCzHQM2LQyUWmiqe6E0) __

  ## Retrieval Process

  The
  retrieval
  process in Retrieval-Augmented Generation (RAG) involves finding relevant information from a large dataset or knowledge base to support the generation of accurate, context-aware responses. When a query is received, the system first converts it into a vector (embedding) and uses this vector to search a database of pre-indexed embeddings, identifying the most similar or relevant data points. Techniques like approximate nearest neighbor (ANN) search are often used to speed up this process.