In this video, you will learn how to leverage @qdrant and @LlamaIndex to create a simple LLM (Location-based Lookalike Modeling) application. The tutorial provides step-by-step instructions on using Qdrant, an open-source vector search engine, and LlamaIndex, an indexing library, to build the app. Whether you're new to LLM or looking to enhance your existing applications, this video will guide you through the process and help you make the most of these powerful tools. Qdrant Docs: https://qdrant.tech/documentation/cloud/ LlamaIndex Docs: https://gpt-index.readthedocs.io/en/latest/how_to/integrations/vector_stores.html Prompt Coding with ChatGPT: https://courses.omariharebin.com/prompt-code-webinar

Marketing without the performance
25 views

100's of Squarespace section templates
66 views

How to bulk-edit products in Squarespace
347 views

Why “Niche Down” Hasn’t Worked For You (And What To Do Instead)
22 views

How to become more magnetic to clients you wanna work with
12 views

The Untaught Way to Write Proposals That Get Read, Respected, and Approved
60 views