> ## Documentation Index
> Fetch the complete documentation index at: https://gaia-docs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Validate Vectorstore Configuration

> Validates vector store API key and configuration before saving

## Request Body

<ParamField body="vectorstoreProvider" type="string" required>
  Vector store provider name (e.g., `pinecone`, `weaviate`, `qdrant`, `chroma`)
</ParamField>

<ParamField body="vectorStoreConfig" type="object" required>
  Configuration object containing provider-specific settings

  <Expandable title="Configuration Object">
    <ParamField body="apiKey" type="string">
      API key for the vector store
    </ParamField>

    <ParamField body="environment" type="string">
      Environment or region (provider-specific)
    </ParamField>

    <ParamField body="indexName" type="string">
      Index or collection name
    </ParamField>

    <ParamField body="endpoint" type="string">
      Custom endpoint URL (if applicable)
    </ParamField>
  </Expandable>
</ParamField>

## Response

<ResponseField name="isValid" type="boolean">
  Whether the configuration is valid and connection successful
</ResponseField>

<ResponseField name="message" type="string">
  Validation result message or error details
</ResponseField>

<RequestExample>
  ```bash cURL theme={null}
  curl -X POST https://api.example.com/api/knowledge/validate-vectorstore \
    -H "Authorization: Bearer YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "vectorstoreProvider": "pinecone",
      "vectorStoreConfig": {
        "apiKey": "pc-xxxxxxxxxxxxx",
        "environment": "us-east-1",
        "indexName": "my-index"
      }
    }'
  ```

  ```javascript JavaScript theme={null}
  const response = await fetch('https://api.example.com/api/knowledge/validate-vectorstore', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      vectorstoreProvider: 'pinecone',
      vectorStoreConfig: {
        apiKey: 'pc-xxxxxxxxxxxxx',
        environment: 'us-east-1',
        indexName: 'my-index'
      }
    })
  });

  const data = await response.json();
  ```

  ```python Python theme={null}
  import requests

  response = requests.post(
      'https://api.example.com/api/knowledge/validate-vectorstore',
      headers={
          'Authorization': 'Bearer YOUR_API_KEY',
          'Content-Type': 'application/json'
      },
      json={
          'vectorstoreProvider': 'pinecone',
          'vectorStoreConfig': {
              'apiKey': 'pc-xxxxxxxxxxxxx',
              'environment': 'us-east-1',
              'indexName': 'my-index'
          }
      }
  )

  data = response.json()
  ```
</RequestExample>

<ResponseExample>
  ```json Valid Configuration theme={null}
  {
    "isValid": true,
    "message": "Connection successful. Vector store is ready to use."
  }
  ```

  ```json Invalid Configuration theme={null}
  {
    "isValid": false,
    "message": "Authentication failed: Invalid API key"
  }
  ```

  ```json Connection Error theme={null}
  {
    "isValid": false,
    "message": "Failed to connect to vector store: Index 'my-index' does not exist"
  }
  ```
</ResponseExample>