AI Sauna/Vector database of Senates Justice Department
< AI Sauna
Vector database of Senate Justice Department[edit]
Description[edit]
We wanted to try how vector databases help in search of HTR'd data. We used the data created by National Archives of Finland and stored it into vector database (Qdrant) that was set up by the National Library of Finland.
We also tried to create QA bots, but we ran out of time.
The team[edit]
- Atte Föhr
- Mikko Lipsanen
- Juho Inkinen
- Ilkka Jokipii
Created by: $4
Team members: $6
Results[edit]
Our method[edit]
Resources we used[edit]
National Library of Finland installation of Qdrant vector database
OpenAI embedding models on National Library of Finland's Azure
Conclusion[edit]
- Embedding and storing the embeddings in vector database is quite simple
- Qdrant visualisation tool is a nice way explore the data
What next[edit]
Do you wish to continue exploring this? What was not covered? What did you get curious about?
Links, images, documentation[edit]
Upload at least one image to Wikimedia Commons for the image of the page banner.