Vector Search Is Not All You Need

1. notes from https://ai.plainenglish.io/vector-search-is-not-all-you-need-ecd0f16ad65e
2. This is particularly evident when questions require complex multi-hop reasoning across multiple documents.

Further reading

https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/140530/6d15f9ec-46ac-495a-a378-3b3aa977a17a/paste.txt

https://medium.com/thirdai-blog/understanding-the-fundamental-limitations-of-vector-based-retrieval-for-building-llm-powered-48bb7b5a57b3

https://labelbox.com/blog/how-vector-similarity-search-works/

https://www.elastic.co/what-is/vector-search

https://kaushikshakkari.medium.com/open-domain-question-answering-series-part-7-the-rise-of-vector-databases-in-the-world-of-9d848a3f47d5

https://medium.com/@PolonioliAI/limitations-of-vectors-and-neural-search-4d81fd64482f

https://medium.com/vector-database/frustrated-with-new-data-our-vector-database-can-help-e5c430b29be7

https://www.singlestore.com/blog/why-your-vector-database-should-not-be-a-vector-database/

https://clickhouse.com/blog/vector-search-clickhouse-p1

https://www.searchenginejournal.com/semantic-search-with-vectors/467574/

https://www.usenix.org/system/files/osdi23-zhang-qianxi_1.pdf

https://www.infoworld.com/article/3651360/solving-complex-problems-with-vector-databases.html

https://people.eecs.berkeley.edu/~matei/papers/2020/sigir_colbert.pdf

https://blog.futuresmart.ai/gpt-4-semantic-search-and-vector-databases-revolutionizing-question-answering

https://blog.vespa.ai/constrained-approximate-nearest-neighbor-search/

https://www.pinecone.io/learn/vector-search-filtering/