Weaviate

Documentation Index

Fetch the complete documentation index at: https://docs.squared.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Connect AI Squared to Weaviate

This guide will help you configure the Weaviate Connector in AI Squared to access and transfer data to your Weaviate collection.

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Prerequisites

Before proceeding, ensure you have your API URL and API key.

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Step-by-Step Guide to Connect to your Weaviate collection

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Step 1: Navigate to Weaviate

Start by logging into your Weaviate account.

1. Sign in to your Weaviate account at Weaviate Cloud Console

2. Select Clusters from the side bar.

3. Select your cluster to see more details.

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Step 2: Locate Weaviate Configuration Details

Once in your Weaviate cluster, you’ll find the necessary configuration details: API URL:

• Click on the Details tab of your cluster.
• Copy the Cluster URL (API URL).

API Key:

• Click on the API Keys tab.
• If you haven’t created an API key before, click on Create to generate a new one. Make sure to copy the API Key as it is shown only once.

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Step 3: Configure Weaviate Connector in Your Application

Now that you have gathered all the necessary details, enter the following information in your application:

• API Key: The authentication key used to access your Weaviate cluster.
• API URL: The endpoint where your Weaviate cluster is hosted.

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Step 4: Test the Weaviate Connection

After configuring the connector in your application:

1. Save the configuration settings.
2. Test the connection to Weaviate from your application to ensure everything is set up correctly.

By following these steps, you’ve successfully set up a Weaviate destination connector in AI Squared.

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Supported sync modes

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Performance features

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Batch write support

The Weaviate destination connector supports efficient batch writes with the following capabilities:

• Batch operations: Records are written in batches using Weaviate’s batch create API for optimal performance
• Upsert support: When an id field is provided, the connector generates a deterministic UUID to enable upsert behavior, preventing duplicate records
• Automatic type coercion: Property values are automatically coerced to match the Weaviate collection schema (text, integer, number, boolean, and date types)
• Vector support: Each record can include a vector field containing embedding arrays for semantic search and AI-powered applications

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Schema discovery

The connector automatically discovers your Weaviate collections and their property schemas during sync configuration. Each collection stream includes: