jezweb/claude-skills2025-10-23
Complete knowledge domain for Cloudflare Vectorize - globally distributed vector database for building
semantic search, RAG (Retrieval Augmented Generation), and AI-powered applications.
Use when: creating vector indexes, inserting embeddings, querying vectors, implementing semantic search,
building RAG systems, configuring metadata filtering, working with Workers AI embeddings, integrating
with OpenAI embeddings, or encountering metadata index timing errors, dimension mismatches, filter
syntax issues, or insert vs upsert confusion.
Keywords: vectorize, vector database, vector index, vector search, similarity search, semantic search,
nearest neighbor, knn search, ann search, RAG, retrieval augmented generation, chat with data,
document search, semantic Q&A, context retrieval, bge-base, @cf/baai/bge-base-en-v1.5,
text-embedding-3-small, text-embedding-3-large, Workers AI embeddings, openai embeddings,
insert vectors, upsert vectors, query vectors, delete vectors, metadata filtering, namespace filtering,
topK search, cosine similarity, euclidean distance, dot product, wrangler vectorize, metadata index,
create vectorize index, vectorize dimensions, vectorize metric, vectorize binding