How to load data from Lever Hiring to Weaviate
Learn how to use Airbyte to synchronize your Lever Hiring data into Weaviate within minutes.
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How to Sync to Manually
Step 1: Extract Data from Lever Hiring
Begin by accessing your Lever Hiring account. Use the Lever API to extract the necessary data. You can authenticate via OAuth or API keys, depending on your setup. Once authenticated, make API requests to endpoints that provide the data you need, such as candidates, job postings, or interview stages. Save the extracted data in a structured format like JSON or CSV for further processing.
Step 2: Clean and Structure Data
After extracting the data, review it to identify any inconsistencies or errors. Clean the data by removing duplicates, handling missing values, and correcting any inaccuracies. Structure the data in a way that aligns with your intended usage in Weaviate, ensuring that you maintain data integrity and consistency.
Step 3: Map Data to Weaviate Schema
Before importing data into Weaviate, define a schema that represents the data structure in Weaviate. This schema should include classes and properties that correspond to the data fields extracted from Lever. Document the relationships and data types to ensure that the data is correctly mapped for semantic search capabilities in Weaviate.
Step 4: Prepare Weaviate Environment
Set up your Weaviate instance by configuring the necessary resources, such as memory and storage, based on the volume of data you plan to import. Ensure that your Weaviate instance is running and accessible through its API. If necessary, create API keys or other authentication methods to secure access to your Weaviate environment.
Step 5: Transform Data for Weaviate Import
Transform the structured data into a format compatible with Weaviate's import requirements. This involves converting data into JSON-LD format, which is used by Weaviate to understand the semantic context of the data. Ensure that all attributes and relationships defined in your Weaviate schema are correctly represented in the JSON-LD files.
Step 6: Import Data into Weaviate
Use Weaviate's RESTful API to import the transformed JSON-LD data into your Weaviate instance. This can be done by making POST requests to the appropriate endpoints for each class defined in your schema. Monitor the import process for any errors or issues, and verify that the data is accurately reflected in Weaviate after the import is complete.
Step 7: Verify and Test Data in Weaviate
Once the data import is complete, verify the integrity and accuracy of the data within Weaviate. Conduct tests to ensure that the data is correctly indexed and that semantic searches yield expected results. Use Weaviate's querying capabilities to validate that relationships and properties are functioning as intended. Adjust the data or schema as necessary based on your verification findings.
By following these steps, you can successfully move data from Lever Hiring to Weaviate without relying on third-party connectors or integrations.