Vector Search and LLM Essentials - What, When and Why

Vector search and large language models (LLMs) are increasingly popular technologies that have emerged as a result of advancements in machine learning and artificial intelligence. Vectors are encoded representations of unstructured data, such as text, images, and audio, which can be used to query data based on meaning rather than content. LLMs understand pieces of text by converting them into vectors, allowing for similarity searches between concepts. The use of vector search has become more widespread due to the release of popular AI tools like ChatGPT, which made it easier for non-experts to interact with NLP algorithms. As a result, data companies have introduced support for vector search and other functionalities related to LLMs and AI.

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