Celery adds powerful capabilities to Django. it allows you to process things asynchronously and schedule jobs for later. In this blog post, we will look at how to set it up.

In this blog post, we explore how to perform semantic search on various types of documents using OpenAI and Pinecone. The process involves creating vector embeddings with OpenAI, storing the embeddings in Pinecone, and using Pinecone to search for a query. We highlight the advantage of semantic search in finding relevant information by considering the meaning of text rather than just matching keywords.

Vector databases are all the hype right now. But what exactly are they? Moreover, what on earth is a vector? We answer all of these questions in this post.

The models offered by OpenAI can be fine-tuned to cater more closely to specific problems. In this post, we explore how to fine-tune these models.

The Chat GPT interface can sometimes leave a lot to be desired. Here’s how to quickly create a CLI application that talks to Chat GPT.

The default Django User Model has essential functionality and fields. However, you’d almost always need to add more. Here’s how you do it.

In this post, we look at a popular problem presented in coding interviews and see how we can solve it.

Iterators are objects that can be iterated upon. In this post, we’ll take a look at the python data types that are iterable. We’ll also look at how to create an iterator.

Binary Trees are an important data structure used for searching, sorting, and a variety of other operations. Here’s how to implement them in python.

Python’s any() and all() builtin methods are extremely useful for when you want to check if any or all of the values of an iterable are true against a given condition

Here’s a simple and easy way to validate your JSON against a schema in Django before saving it.