@radzor/vector-search
Vector embedding storage and semantic search. Supports Pinecone, Qdrant, and pgvector. Index documents with embeddings and query by semantic similarity for RAG pipelines, recommendation engines, and duplicate detection.
Install
View source on GitHub →Inputs
| Name | Type | Default | Description |
|---|---|---|---|
| provider* | 'pinecone' | 'qdrant' | 'pgvector' | — | Vector database provider. |
| apiKey | string | — | API key for Pinecone. Not required for Qdrant or pgvector.PINECONE_API_KEY |
| host | string | — | Host URL for Qdrant or pgvector connection string. Not used for Pinecone. |
| indexName* | string | — | Name of the index / collection / table to use. |
| dimensions* | number | — | Embedding vector dimensions. Must match the embedding model (e.g. 1536 for text-embedding-3-small). |
| metric | 'cosine' | 'euclidean' | 'dotProduct' |