Conditional logic helps analyze the generated data’s relevance based on specific criteria. This involves understanding the relevance, details, and how
Author: Sushma Rao
A simple agent using LangGraph with RAG context and web search
In this article, I created a study assistant that helps prepare cheat sheets, notes, and plans for your time allocated.
LangGraph connected to a RAG
I write here about how you could leverage RAG by keeping the content in a vector Database and by using
LangGraph Introduction and when is it beneficial
What is LangGraph? LangGraph is a Python-based framework that enables developers to create sophisticated, multi-step workflows for AI models. It
A medical RAG web application
Project Overview In this project, I developed a Retrieval-Augmented Generation (RAG) system designed to enhance natural language processing capabilities by
Langchain Tools and Agents use cases with examples
This is the third in the series made for your understanding of LangChain. View the other 2 below: LangChain—a revolutionary
Vector Databases with LangChain
This is a serial post, If you do not know about LangChain, I recommend you read this one before. Retrieving
An Easy Introduction to LangChain: Making Complex Language Tasks Simple
Have you ever wished you could create applications that understand and generate human language? Imagine building chatbots, summarizing long articles,
Using Few-Shot Prompts with Langchain and OpenAI API in Real-World Applications
What are prompts? A prompt for a language model is a set of instructions or input provided by a user
AI glossary, All the jargon used in the world of data science
Algorithm A set of rules or steps used to solve a problem. In Machine Learning (ML) and Artificial Intelligence (AI),
Load More