In this video, I introduce an innovative project that combines the power of OpenAI embeddings, the Laravel framework, and advanced PDF searching techniques.
Github repo : https://github.com/Khayaa/Laravel-OpenAI-PDF-Search
With our Laravel application, we leverage the OpenAI embeddings model to convert PDF files into searchable vectors. By utilizing natural language queries, you can now easily search for keywords and retrieve relevant chunks of text from your PDF documents. We take it a step further by implementing cosine similarity to ensure accurate and efficient search results.
Join me as I guide you through the step-by-step process of setting up the project, integrating OpenAI embeddings, and performing searches on PDF documents. I ‘ll show you how to combine user input with the PDF content to create prompts for OpenAI models, enabling you to ask questions and receive answers based on the knowledge base extracted from the PDF chunks.
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