emdb-insert
CommunityInsert vectors into EmergentDB with ease.
Authorjustrach
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Insert vectors into EmergentDB using the official SDKs to store embeddings, index documents, or batch upload vectors, enabling scalable similarity search and retrieval.
Core Features & Use Cases
- Single insert of a vector with optional metadata (title, content, etc.)
- Batch insert for up to 1000 vectors per call, with batchInsert / batch_insert
- Upsert behavior: re-inserting an existing ID replaces it in the same namespace
- Namespace support with a default namespace and automatic creation
- Dimension checks: embeddings must match index dimension (default 1536)
- Metadata fields supported: title, content, source_url, tags
Quick Start
Choose your preferred SDK (TypeScript or Python) and perform a single vector insert or a batch upload to EmergentDB.
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-insert Download link: https://github.com/justrach/emergent-sdk/archive/main.zip#emdb-insert Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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