How to do text embedding vector similarity search with Milvus Standalone🔥: Python — Milvus #3

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In today's tutorial, we're going to do a text similarity search with Milvus Standalone. Milvus is an open-source vector database. I'll show you an example in Python.

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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

#AI #Milvus #Embeddings #EmbeddingVectors #SimilaritySearch
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Hey everyone! 👋 Did you know that 97.5% of my viewers aren’t subscribed? If you found this tutorial helpful, consider subscribing to the channel. It’s free and doesn’t hurt anyone, but it means a lot to me. Plus, it’s a great way to stay updated with the latest coding tips and tricks. Thanks for your support! 🙏

rokbenko
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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...

fabsync
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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..

fabsync
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Could you illustrate how to dynamically pass json data into a collection and perform similarity search?

nitishnair