Ensure that your PostgreSQL database and Weaviate instance are both set up and running. Confirm that you have access credentials and that your environment variables are properly configured to connect to each service. Ensure that your Weaviate instance has the necessary schema configured for your data.

Use SQL queries to extract the data you wish to move from PostgreSQL. This can be done using a simple `SELECT` statement. For example:
```sql
SELECT * FROM your_table_name;
```
Export this data to a CSV or JSON file for easier processing.

Once you have exported your data, transform it into a JSON format that matches the schema defined in your Weaviate instance. This might involve writing a script in Python or another programming language to convert the CSV data into JSON objects. Each JSON object should correspond to a class in Weaviate, including all necessary properties.

Write a script to ingest data into Weaviate using its RESTful API. You can use Python with the `requests` library or curl commands for this purpose. The script should read the JSON data and send HTTP POST requests to the Weaviate API endpoint for data objects, such as:
```python
import requests
def add_to_weaviate(data):
url = 'http://localhost:8080/v1/objects'
headers = {'Content-Type': 'application/json'}
response = requests.post(url, json=data, headers=headers)
return response.status_code
# Example usage
for obj in json_data:
add_to_weaviate(obj)
```

If not already done, define the schema in your Weaviate instance to ensure that it matches the structure of the incoming data. This includes specifying classes and properties that align with your data fields. You can do this via the Weaviate console or using API calls.

Run the script to ingest your data into Weaviate. The script should iterate over each JSON object and make API requests to insert the data. Monitor the responses to ensure successful ingestion, and handle any errors or rejections reported by the API.

After ingestion, verify that the data has been correctly inserted into Weaviate. This can be done by querying the Weaviate instance via its API or console to ensure all objects are present and correctly formatted. Check for any discrepancies or missing data and re-ingest if necessary.
By following these steps, you can successfully move data from PostgreSQL to Weaviate without relying on third-party connectors.