Let's Code an AI Search Engine with LLM Embeddings, Django, and pgvector

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2023Oct 25

This is the long-form version of the original video: • How We're Building AI Search Engines ... A lot of people have asked us for ideas of how they can leverage Large Language Models (LLMs) for their business applications. A common example is to use the native language comprehension capabilities of LLMs to find matching content. This makes LLMs an excellent tool for search! In this video, ThinkNimble CTO William Huster walks through how he built a prototype application that enables searching for job descriptions using an unstructured, English-language description of a job seeker. The code for this demo can be found here:

Let's Code an AI Search Engine with LLM Embeddings, Django, and pgvector

ThinkNimble

Let's Code an AI Search Engine with LLM Embeddings, Django, and pgvector

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ThinkNimble

Transcript

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