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

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!

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

[ruznyma]

Nice to see you now cooking with LLM too. Your trydjango series was the best on the planet ❤. I picked it up in no time🎉

[rodolfokurek]

Awesome project. Thanks a lot for doing it.

[henryantwi]

I love the way you make everything happen!

[donkeybetz]

Thanks for the content! Just wondering, is there a reason why you don't use the Jupyter in VSCode instead of switching back and forth between the web and VSCode?

[chase]

Thank you for your insightful tutorial, I learned a lot from this.

Quick questions:
1. I tried to build a UI chatbot with this as the back end. It does not seem to remember previous messages and sometimes asking the same messages results in different or inaccurate answers such as: "The information is not available", "There are 10 products" when in reality it has more than 100. Is this expected?

2. It seems to take a while to load. Is this also expected?

3. Do we need vector embeddings for all kinds of tables? How about numeric data such as temperature conditions or exchange rates?

[malikrumi]

Man, where ya' been? Glad to see you back. You always have a knack for talking Django things I didn't know I needed to know!

[fgchl]

thanks so much :)
just curious, will you be continuing with the saas foundations course anytime soon?

[NoahMasolo]

I have clicked on the notification so quick.

[ArashViRuS-lymz]

Thank you for your great content sir can I know your name?

[KrisnoMukti]

bro, make the latest django tutorial for beginners until they understand

[faizahmed]

I have done similar project using flask it's interesting talking with database like chatbot...🤟🏻👍🏻

[zvptthl]

SIR ! WE NEED DJANGO REST FRAMEWORK PROJECT

LIKE MY COMMENT IF ANYONE WANT DRF PROJECT

[zvptthl]

SIR ! WE NEED DJANGO REST FRAMEWORK PROJECT
Sir proper FULL REST Django Rest Framework project Restful APIs in which lots of things implemented like Signals like corsheaders and other thirdy party API's . Sir i think you can understand