Data Science

Revolutionizing Chemical Product Discovery with Generative AI (GenAI) and Retrieval-Augmented Generation (RAG)

Introduction The chemical industry is an important part of the economy as it produces and supplies raw materials for various ingredients and use cases. There are thousands of products on the market, all of which have different compositions, technical properties, and requirements for their usage. The correct selection of products is,...

by Priya Yadav
Tag: RAG
25-Mar-2025

Python

Step-by-Step Guide to Building a RAG Application with Python and LangChain

In the evolving landscape of artificial intelligence, creating AI applications that provide accurate, contextual, and reliable responses has become increasingly crucial. Retrieval-augmented generation (RAG) emerges as a powerful framework that addresses this challenge by combining the strengths of information retrieval with generative AI...

05-Feb-2025

Data Science

How to Develop a RAG-Based Search System and Connect It to Drupal CMS

Introduction In today’s information-driven world, delivering precise and contextually relevant search results is a critical challenge. This is where RAG (Retrieval-Augmented Generation) systems shine, combining the power of retrieval-based approaches with advanced generation models to enhance search accuracy and relevance. In this...

by Dharmendra Singh
Tag: RAG
16-Jan-2025