Talk to Django with natural language. Text to SQL and more.

⭐️ Sign up for Neon right now! https://neon.tech/cfe Topics: ✅ Python web development with Django ✅ Talk to your database through Django and AI ✅ Adding AI to your Django Project ✅ Integrate Django and Jupyter for rapid analysis and prototyping ✅ Implementing Text to SQL ✅ Learn Semantic Search ✅ Lean how to use Vectors ✅ Learn Consine Similarity with Numpy ✅ Vectorize database columns ✅ Integrate Neon Postgres ✅ Embeddings with Open Source and OpenAI ✅ Llama Index for Natural Language Text to SQL and Vector Queries ✅ And much more! 💽 Code: https://github.com/codingforentrepreneurs/talk-to-django Thank you to Neon for sponsoring this course - sign up at https://neon.tech/cfe 🚀 Enroll now on https://cfe.sh/enroll 🚀 00:00:00 Welcome 00:03:31 Demo 00:09:09 Requirements 00:11:43 Virtual Environment and Jupyter 00:18:07 Getting Started with Embeddings and Semantic Search 00:24:49 Embeddings with Multiple Data Points 00:30:24 Embeddings with IDs 00:42:47 Setup Django Project 00:49:22 Integrate Pgvector & Django 00:57:26 Neon Postgres with Django and pgvector 01:05:06 Integrate Django and Jupyter 01:09:45 Semantic Search with Django and pgvector 01:26:08 Semantic Search with Generic Foreign Keys Across Multiple Models 01:35:30 Services to Generate Embeddings and Search Results 01:46:16 Cosine Similarity with Numpy and Vectors 01:53:03 Configure Postgres for Llama Index 02:07:01 Add Documents from Django Models to Llama Index 02:19:51 Custom Embeddings with Llama Index 02:33:33 Llama Index Semantic Search Modules 02:37:56 Text to SQL with Llama Index 02:47:28 New Model for Text to SQL 02:52:25 Multiple Models for Text to SQL 02:55:48 Customize the Llama Index SQL Query Prompts 03:04:07 Load a Dataset for Real Blog Articles 03:08:46 Talk to Django 03:22:08 Thank you and next steps