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[New Cookbook] Semantic Search with DuckDB and OpenAI Embeddings #2116
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Hey!
Overall looks good, few feedback:
imageThis looks weird, is this intended?
As well, would be interesting to add latency diffs before and after using ANN & HNSW
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Summary
This PR adds a new notebook that serves as an introduction on how we can integrate OpenAI embeddings into DuckDB by defining an openai embeddings UDF to use with DuckDB SQL operations. The example is quite straightforward, demonstrating a simple semantic / vector search end to end example using an arXiv abstracts dataset.
Motivation
I noticed that we don't have any guides on using DuckDB with OpenAI APIs, so thought of kicking that off with a simple introduction. DuckDB is a popular lightweight OLAP system, mainly for analytics workloads. For many analytics use cases, combining embeddings and other OpenAI endpoints with native SQL analysis tasks can be quite powerful.
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