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There is currently lots of attention to vector databases with the advent of enterprise application of LLMs combined with RAG techniques. In many use cases, these vector databases are hidden behind frameworks like LangChain which abstract away document ingestion into the vector database and retrieval of relevant documents, making it unnecessary to directly interact with the vector databases themselves. I found it interesting to get a bit more of a deep dive into a vector database product to get a view of how to set up and work with them without working with a RAG use case again. Read More ›