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Reports, Analytics & Dashboards
Mine Customer Insights from Reviews with Qdrant and OpenAI
When you run it, it extracts reviews from a zip file, stores embeddings in Qdrant, clusters them and has OpenAI summarize insights into Google Sheets.
What it does
## Step 3. Store Reviews in Qdrant Learn more about the Qdrant Vector Store Vector databases are a great way to store data if you're interested in perform similiarity searches which applies here as we want to group similar reviews to find patterns. Qdrant is a powerful vector database and tool of choice because of its robust API implementation and advanced filtering capabilities.
The steps
- When clicking ‘Test workflow’
- Zip Entries
- Extract Reviews
- Reviews to List
- Default Data Loader
- Recursive Character Text Splitter
- Embeddings OpenAI
- Set Variables
- Get Payload of Points
- Clusters To List
- OpenAI Chat Model
- Only Clusters With 3+ points
- Set Variables1
- Find Reviews
24 steps in total.
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