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# Semantic Search with Vector Databases

**[KDnuggets](https://daily.dev/sources/kdnuggets)** · 6 min read · 11 upvotes · 0 comments

## Summary

This post discusses semantic search and how to use a Vector Database with Python. Semantic search considers the meaning of words and sentences, using numerical vectors to capture that information. Weaviate is an open-source Vector Database used for storing and searching text data. The Python implementation demonstrates the process of semantic search using Weaviate.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.kdnuggets.com/semantic-search-with-vector-databases>

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---

Tags: [#python](https://daily.dev/tags/python), [#nlp](https://daily.dev/tags/nlp), [#vector-search](https://daily.dev/tags/vector-search), [#weaviate](https://daily.dev/tags/weaviate)

[View this post on daily.dev](https://daily.dev/posts/semantic-search-with-vector-databases-8ycylkpyb)

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