Splitting Vector Databases into individual cookbooks (openai#529)

* Initial commit of vector database cookbooks split out individually

* Moved notebooks to each provider's named folder and updated the README

* Removed vector DB overall cookbook in favour of individual directories

Author: colin-openai

examples/vector_databases/README.md

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+# Vector Databases
+
+This section of the OpenAI Cookbook showcases many of the vector databases available to support your semantic search use cases. 
+
+Vector databases can be a great accompaniment for knowledge retrieval applications, which reduce hallucinations by providing the LLM with the relevant context to answer questions.
+
+Each provider has their own named directory, with a standard notebook to introduce you to using our API with their product, and any supplementary notebooks they choose to add to showcase their functionality.
+
+## Guides & deep dives
+- [AnalyticDB](https://www.alibabacloud.com/help/en/analyticdb-for-postgresql/latest/get-started-with-analyticdb-for-postgresql)
+- [Chroma](https://docs.trychroma.com/getting-started)
+- [Hologres](https://www.alibabacloud.com/help/en/hologres/latest/procedure-to-use-hologres)
+- [Kusto](https://learn.microsoft.com/en-us/azure/data-explorer/web-query-data)
+- [Milvus](https://milvus.io/docs/example_code.md)
+- [MyScale](https://docs.myscale.com/en/quickstart/)
+- [Pinecone](https://docs.pinecone.io/docs/quickstart)
+- [Qdrant](https://qdrant.tech/documentation/quick-start/)
+- [Redis](https://github.com/RedisVentures/simple-vecsim-intro)
+- [SingleStoreDB](https://www.singlestore.com/blog/how-to-get-started-with-singlestore/)
+- [Typesense](https://typesense.org/docs/guide/)
+- [Weaviate](https://weaviate.io/developers/weaviate/quickstart)