How to do text embedding vector similarity search with Milvus Standalone🔥: Python - Milvus #3
In today's tutorial, we are going to do a text similarity search with Milvus. Milvus is an open-source vector database. I'll show you an example in Python.
⭐ Code ⭐
GitHub repository: github.com/rokbenko/ai-playgr...
Code for this tutorial: github.com/rokbenko/ai-playgr...
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🎞️ Timestamps 🎞️
00:00 - Intro
00:11 - Code for this tutorial
00:27 - Previous tutorial
00:38 - Text similarity search explained
00:54 - Run Milvus Docker containers
01:14 - About "Movies" collection
01:49 - Code breakdown
02:29 - Try block explained (part 1)
03:10 - Vectors and distance calculations explained
03:56 - Try block explained (part 2)
04:37 - Similarity search parameters explained
05:48 - Try block explained (part 3)
05:57 - Run the Python example (input 1)
06:39 - Run the Python example (input 2)
07:05 - Run the Python example (input 3)
07:31 - Outro
#Milvus #Embedding #Vector
Пікірлер: 5
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fantastic series man! Keep it up.. Learning a lot and enjoying the show! I wonder how would you do it with multiple pdfs..
fantastic man! Simple but powerful.. I liked the fact that you are not using openai for this...I would love to see something more sophisticated.. probably chat with pdf with django-ninja or flask or fastapi..and milvus...
Could you illustrate how to dynamically pass json data into a collection and perform similarity search?
Resume score provider code