Weaviate

Weaviate is an open-source vector database designed for scalability and rich querying capabilities. It allows for semantic search, automated vectorization, and supports large language model (LLM) integration. The connection to Weaviate is based on the weaviate-client library.

Dependency

• weaviate-client

Parameters

To use Weaviate, you need an API key and a URL of your Weaviate instance. Here are the instructions for setting up a Weaviate instance. After setting up your instance, you will find the API key and URL on the Details tab in Weaviate Cloud Services (WCS) dashboard. These details are essential for establishing a connection to the Weaviate server.

• WEAVIATE_API_KEY is the API key for your Weaviate instance.

• WEAVIATE_API_URL is the URL of your Weaviate instance.

The above values can either be set via the SET statement, or in the os environment fields “WEAVIATE_API_KEY”, “WEAVIATE_API_URL”

Create Collection

Weaviate uses collections (similar to ‘classes’) to store data. To create a collection in Weaviate, use the following SQL command in EvaDB:

CREATE INDEX collection_name ON table_name (data) USING WEAVIATE;

This command creates a collection in Weaviate with the specified name, linked to the table in EvaDB. You can also specify vectorizer settings and other configurations for the collection as needed.