# Skill Scaffold

> 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…

- Skill: `tools-only/skill-scaffold-24` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add tools-only/skill-scaffold-24`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tools-only/skill-scaffold-24/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: tools-only (https://skillmd.com/u/tools-only)
- Updated: 2026-09-29
- Page: https://skillmd.com/skills/tools-only/skill-scaffold-24

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# 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.