Supported Vector Databases
Weaviate
Weaviate is an open-source vector search engine. It allows efficient storage and retrieval of high-dimensional vector embeddings, enabling powerful search and retrieval capabilities.
Installation
Usage
Python
Config
Let’s see the available parameters for the weaviate
config:
Parameter | Description | Default Value |
---|---|---|
collection_name | The name of the collection to store the vectors | mem0 |
embedding_model_dims | Dimensions of the embedding model | 1536 |
cluster_url | URL for the Weaviate server | None |
auth_client_secret | API key for Weaviate authentication | None |