Contribute search fine-tuning examples to OpenAI cookbook repo (python)

[tylerhutcherson]

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

Create a notebook that highlights the following:

• Combining Redis VSS and other search features (for improved performance)
• Show examples "fine tuning" the HNSW params for VSS and compare recall to a FLAT index structure.
• Show difference between using pipelines for multiple searches vs individual Redis calls (latency improvement)
• Anything else you guys think is relevant here from a search performance perspective?