@radzor/embeddings-store
In-memory vector store for embeddings with cosine similarity search. Supports OpenAI and Ollama embedding providers. Ideal for RAG pipelines and semantic search.
AI & MLv0.1.0typescriptpythonUniversalembeddingsvectorragsimilaritysearchopenaisemanticby Radzor
Install
View source on GitHub →$npx radzor@latest add embeddings-store
⚠ Constraints: In-memory store — data does not persist across restarts. For production, export/import the store or use a dedicated vector DB.
Inputs
| Name | Type | Default | Description |
|---|---|---|---|
| provider* | 'openai' | 'ollama' | — | Embedding provider. |
| apiKey | string | — | API key (required for OpenAI).OPENAI_API_KEY |
| model | string | — | Embedding model (e.g. text-embedding-3-small). |
| baseUrl | string | — | Override base URL for self-hosted. |
provider*'openai' | 'ollama'
Embedding provider.
apiKeystring