tools-only exa-embedding-integration
Skill Scaffold
exa-embedding-integration/
SKILL.md
File Descriptions
1. SKILL.md
Purpose: Integrate Exa neural embeddings with vector databases for custom similarity search, clustering, and advanced ML workflows. Workflow: Advanced ML skill - extends Exa capabilities with vector infrastructure. Relates to: Follows exa-similarity-search; complements exa-rag-integration
Summary
This skill integrates Exa with vector databases: extracting neural embeddings from Exa results, storing embeddings in Pinecone/Weaviate/Qdrant/Chroma, building custom similarity indices, clustering content by semantic similarity, hybrid search (Exa + vector DB), embedding caching strategies, incremental index updates, and cross-collection similarity search. Target: Sub-100ms similarity search across 1M+ vectors with Exa-quality embeddings.