03-embedding-similarity

Documentation

Overview

Recipe 03: Embedding and Cosine Similarity

Compute text embeddings and rank a corpus of documents by relevance to a query using cosine similarity. This is the retrieval building block for semantic search and RAG systems.

Usage:

go run ./docs/cookbook/03-embedding-similarity/ --model path/to/model.gguf
go run ./docs/cookbook/03-embedding-similarity/ --model path/to/model.gguf --query "memory management"