Vector Store
Free & Open Source
stable
ai
ai
embeddings
Vector store abstraction for pgvector/Qdrant-style indexes, similarity search, and embedding metadata
Status
stable
Coverage Gate
85%
Version
v0.1.12
Registry Date
7/27/2026
About
Vector store abstraction for pgvector/Qdrant-style indexes, similarity search, and embedding metadata. It ships as a stable RapidKit free module with generated runtime scaffolding, configuration sources, documentation, and validation metadata from the Core module manifest.
Features
- Vector Indexing
- Similarity Search
- Metadata Filters
- Embedding Storage
- Health Checks
Capabilities
vector_indexing
similarity_search
metadata_filters
embedding_storage
health_checks
Compatible Frameworks
FastAPI
NestJS
Stability Audit
Verified module evidence
100
Score
Get Started
WORKSPAI WORKSPACE · RECOMMENDED
workspai add module free/ai/vector_storeRun this inside a Workspai-managed project to keep workspace context and module state aligned.
RAPIDKIT CORE ONLY
rapidkit add module free/ai/vector_storeUse this when the project only uses the standalone RapidKit Python engine.
100% Free & Open Source
Resources
Module Information
Status
stable
License
Apache-2.0
Category
ai
Author
Chistiq
Published 7/27/2026
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