emdb-search
CommunityFind similar vectors in EmergentDB quickly
Data & Analytics#semantic-search#vector-search#search-api#emergentdb#k-nearest-neighbors#metadata-inclusion#namespace-scoping
Authorjustrach
Version1.0.0
Installs0
System Documentation
What problem does it solve?
EmergentDB users need to locate documents by vector similarity and perform semantic search across stored vectors to derive actionable results.
Core Features & Use Cases
- Semantic search across documents in EmergentDB to identify closely related content.
- Retrieve top-k similar vectors with optional metadata and namespace scoping.
- Quick integration with TypeScript and Python SDKs for rapid adoption.
Quick Start
Invoke the EmergentDB search with your query vector to retrieve the top matching documents.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: emdb-search Download link: https://github.com/justrach/emergent-sdk/archive/main.zip#emdb-search Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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