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

# Find Topics

The method `find_topics` returns a list of topics that matched the value parameter.

<Note>
  Find topics by details is not yet supported in the API.
</Note>

The value can match with the topic's name, group, base topic, or description.

Once you have the IDs, you can use them to filter your search queries with an [Topic query filter](../search/query_filters#topic).

```python theme={null}
from dotenv import load_dotenv
from bigdata_client import Bigdata
import os

load_dotenv()

# Initialize the Bigdata API
username = os.environ.get("BIGDATA_USERNAME")
password = os.environ.get("BIGDATA_PASSWORD")
bigdata = Bigdata(username, password)

results = bigdata.knowledge_graph.find_topics("board")

for topic in results:
    print(f"Topic ID: {topic.id}")
    print(f"Topic: {topic.topic}")
    print(f"Group : {topic.topic_group}")
    print(f"Topic Name: {topic.name}")
    print(f"Description: {topic.description}\n")
```

Output:

```Output theme={null}
Topic ID: business,labor-issues,board-member-appointment,,
Topic: business
Group : labor-issues
Topic Name: Board Member Appointment
Description: A new member of the board is appointed

Topic ID: business,investor-relations,board-meeting,,
Topic: business
Group : investor-relations
Topic Name: Board Meeting
Description: A formal gathering of the board of directors of a company  

...
```