vector-search
CommunityInstant multi-tenant vector search with Qdrant.
AuthorSoftSystemsStudio
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill enables scalable, tenant-isolated vector storage and retrieval using Qdrant, streamlining ingestion, embedding, and similarity search across multiple workspaces.
Core Features & Use Cases
- Vector ingestion: upload and upsert embedding vectors into a named collection with workspace scoping.
- Similarity search: perform filtered, high-relevance vector queries with workspace-based access control.
- Use Case: Build a multi-tenant document search service where each tenant can upload documents and retrieve relevant results without cross-tenant data exposure.
Quick Start
Index a small set of sample documents into a collection and perform a similarity search filtered by workspaceId.
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: vector-search Download link: https://github.com/SoftSystemsStudio/Soft-Systems-Studio/archive/main.zip#vector-search Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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