Vector search engines with Python: from embeddings to similarity search
- Speaker
- Gabriel de Maeztu
- Event
- PyDay BCN (2021)
- Date
- Type
- Workshop
- Language
- English
- Topic
- Data Science
- Length
- 75 minutes
About this talk
I would cover the following topics, providing to anyone familiar with Python an overall idea about embeddings and similarity search in addition to a tutorial with with a use cases:
- What are Vector Embeddings?
- What is a Vector Database?
- What is Vector Similarity Search?
- So what do I do with my vector embedding?
- Efficient Filtering of Vectors
- Use cases: text, image, video, audio, graph and relational data
- Let’s build a search engine: Semantic textual search with vector embeddings
- Get the data
- Create the embeddings
- Upload the embeddings
- Query the data
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