Harsh Singhal | DataScienceFM

In the digital age, the continuous evolution of technology propels innovations that were once confined to research labs into everyday applications. Among these advances, the use of embeddings, vector search, and large language models (LLMs) like ChatGPT stands out, ushering in a new era of sophisticated tools that can comprehend,

When paired with the robust FastAPI framework, a tool like jQuery can be instrumental in achieving this. FastAPI, known for its high performance and Pythonic ease, serves as an optimal backend choice for modern web applications.

Docker has revolutionized the way we build, ship, and run applications. It's an indispensable tool for developers and data scientists, allowing for consistent and reproducible environments. But why Docker? Lets find out.

FastAPI is a modern web framework for building APIs with Python 3.6+ based on standard Python type hints. It's known for its speed and easy-to-use syntax. We create a simple FastAPI backend service that accepts a sentence and returns similar sentences.

nter Annoy (Approximate Nearest Neighbors Oh Yeah) – a powerful library designed for fast approximate nearest neighbor search.

Over the years, a plethora of embedding models have been designed, each fine-tuned for specific tasks. Let’s embark on a journey exploring these models, with a particular focus on the offerings from the Sentence Transformers library.