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- Our world is awash with complex, unstructured, text data. To effectively deal with these, you need a vector database.
- Hybrid search
- Vector databases and large language models (or LLMs) enable fast prototyping of systems that were incredibly difficult to
- No server needed to run a vector database! With
- In machine learning, e.g. recommendation tools or data classification, data is often represented as high-dimensional vectors.
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Learn how to This video is part of RAG++ : From POC to Production course, sign up for free at http://wandb.me/rag-yt. Ready to move beyond keyword X: @DylanHumphreys LinkedIn: https://www.linkedin.com/in/dylanjhumphreys/ Colab notebook: ...
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