Embeddings Manager

Generate, store, and search vector embeddings for semantic search, clustering, and recommendation systems.

Category: AI & LLMs | Security status: verified | Rating: 4.8/5 | Version: 3.0.2

What Embeddings Manager does

Embeddings Manager handles the complete lifecycle of vector embeddings. Generate embeddings from text, images, or code using multiple providers (OpenAI, Cohere, Voyage, local models), store them in vector databases (Pinecone, Qdrant, pgvector), and perform lightning-fast semantic search with filtering and reranking.

Use cases

Build semantic search engines over your own data
Create recommendation systems from user behavior
Cluster documents by topic automatically
Power RAG pipelines with high-quality retrieval

Install Embeddings Manager

npx clawhub@latest install embeddings-manager

Frequently asked questions

Which vector databases does it support?

Pinecone, Qdrant, Weaviate, ChromaDB, Milvus, and PostgreSQL with pgvector.

Can it use local embedding models?

Yes — it supports Ollama and any ONNX-compatible embedding model for fully local operation.