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Summary
This PR adds a new OpenAI + Valkey Vector Search Cookbook, including a step‑by‑step notebook that demonstrates how to use Valkey as a vector database with OpenAI embeddings. It introduces Valkey‑Search, explains how to index and query vectors, covers recommended deployment patterns, and provides clear examples for developers getting started with vector workloads on Valkey.
Motivation
Valkey is rapidly becoming a popular open‑source alternative for real‑time vector search, but there is currently limited practical documentation showing how to integrate it with modern embedding models. This cookbook fills that gap by offering a hands‑on guide that developers can follow end‑to‑end.
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