Vector Database + Python
"find that bit" uses Qdrant Vector Database and Python : Similarity Search based on the meaning of your query - no need for OpenAI or a paid service.
https://findthatbit.com - this project uses a pre-trained model called all-MiniLM-L6-v2 - it is a performance-optimized sentence embedding model.
How to use the findthatbit?
example: Search for "roman army" and it finds relevant bits across all of the videos eg: "julius caesar" and "balearic slingers" being discussed by Michael Saylor!
Get in touch if you have a need for semantic text search, for either public facing or on-prem/private use. Qdrant provide a docker container you can lauch locally, this means you can store and search without using the cloud.
Please support me on https://ko-fi.com/redandgreen if you would like to.
chapters -
00:00 intro
01:09 qdrant overview
03:11 findthatbit demo
07:39 itertuples
11:11 qdrant upsert
17:10 thumbnail links to video
Link to itertuples example : https://www.geeksforgeeks.org/how-to-...
Thanks to Qdrant, Webdock, and https://fastapi.tiangolo.com
https://bitcoinlaunches.com/?launchID...
https://qdrant.tech/documentation/ove...
If you want a fast VPS server with Python installed check out :
https://webdock.io/en?maff=wdaff--170
https://webdock.io/en/black-friday-cy...
Pytest with FastAPI course on "TestDriven.io":
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https://testdriven.io/courses/tdd-fas...
https://testdriven.io/courses/scalabl...
https://testdriven.io/courses/fastapi...
Become a patron : 🌏 / drpi
Buy me a coffee (or Tea) ☕ https://www.buymeacoffee.com/DrPi
Thumbs up yeah? (cos Algos..)
#qdrant #FastAPI #findthatbit
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