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[New Cookbook] Semantic Search with DuckDB and OpenAI Embeddings #2116

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4 changes: 4 additions & 0 deletions authors.yaml
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Expand Up @@ -493,6 +493,10 @@ heejingithub:
website: "https://www.linkedin.com/in/heejc/"
avatar: "https://avatars.githubusercontent.com/u/169293861"

ayman-openai:
name: "Ayman Farhat"
website: "https://www.linkedin.com/in/ayman-farhat-7baa9a11/"
avatar: "https://avatars.githubusercontent.com/u/229349247"

himadri518:
name: "Himadri Acharya"
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arxiv_data.db
8 changes: 8 additions & 0 deletions examples/vector_databases/duckdb/README.md
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# DuckDB

[DuckDB](https://duckdb.org/) is an in-process SQL OLAP database management system designed for analytics.
DuckDB provides a lightweight, efficient way to query and store embeddings directly alongside your structured data, making it easy to combine vector operations with rich SQL analytics.

For technical details, refer to the [DuckDB documentation](https://duckdb.org/docs/).

The [`duckdb`](https://github.com/duckdb/duckdb) GitHub repository contains the source code, examples, and community resources for experimenting with DuckDB.
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