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Contribute advanced Hybrid search example in OpenAI Cookbook (python)
The existing cookbook just touches the surface: https://github.com/openai/openai-cookbook/blob/main/examples/vector_databases/redis/getting-started-with-redis-and-openai.ipynb
Contribute a Python notebook that demonstrates complex Hybrid queries with Redis VSS and other search features (an ecommerce dataset might work nicely) including
- Numeric range filters
- Tag filters
- Full text search "filters"
- Client-side hybrid scoring combing both BM25 lexical AND semantic search. This could be done in a pipeline to send 1 redis call to fetch both search results (top K) and then merge the sets. Show performance improvement with this technique over pure lexical or pure semantic?