Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Chunking Strategies for RAG with Examples

If you've built a "Naive" RAG pipeline, you've probably hit a wall. You've indexed your documents, but the answers are...…

1 day ago

RAG Pipeline: 6 Steps for Creating Naive RAG App

If you're starting with large language models, you must have heard of RAG (Retrieval-Augmented Generation). It's the magic that lets…

2 days ago

Python: List Comprehension Explained with Examples

If you've spent any time with Python, you've likely heard the term "Pythonic." It refers to code that is not…

5 days ago

Large Language Models (LLMs): Four Critical Modeling Stages

Large language models (LLMs) have fundamentally transformed our digital landscape, powering everything from chatbots and search engines to code generators…

3 months ago

Agentic Workflow Design Patterns Explained with Examples

As Large Language Models (LLMs) evolve into autonomous agents, understanding agentic workflow design patterns has become essential for building robust…

3 months ago

What is Data Strategy?

In today's data-driven business landscape, organizations are constantly seeking ways to harness the power of their information assets. Yet many…

3 months ago

Mathematics Topics for Machine Learning Beginners

In this blog, you would get to know the essential mathematical topics you need to cover to become good at…

4 months ago

Questions to Ask When Thinking Like a Product Leader

This blog represents a list of questions you can ask when thinking like a product leader. The topic includes identifying…

4 months ago

Three Approaches to Creating AI Agents: Code Examples

AI agents are autonomous systems combining three core components: a reasoning engine (powered by LLM), tools for external actions, and…

4 months ago

What is Embodied AI? Explained with Examples

Artificial Intelligence (AI) has evolved significantly, from its early days of symbolic reasoning to the emergence of large language models…

6 months ago

Retrieval Augmented Generation (RAG) & LLM: Examples

Last updated: 25th Jan, 2025 Have you ever wondered how to seamlessly integrate the vast knowledge of Large Language Models…

9 months ago

How to Setup MEAN App with LangChain.js

Hey there! As I venture into building agentic MEAN apps with LangChain.js, I wanted to take a step back and…

9 months ago

Build AI Chatbots for SAAS Using LLMs, RAG, Multi-Agent Frameworks

Software-as-a-Service (SaaS) providers have long relied on traditional chatbot solutions like AWS Lex and Google Dialogflow to automate customer interactions.…

9 months ago

Creating a RAG Application Using LangGraph: Example Code

Retrieval-Augmented Generation (RAG) is an innovative generative AI method that combines retrieval-based search with large language models (LLMs) to enhance…

9 months ago

Building a RAG Application with LangChain: Example Code

The combination of Retrieval-Augmented Generation (RAG) and powerful language models enables the development of sophisticated applications that leverage large datasets…

9 months ago

Building an OpenAI Chatbot with LangChain

Have you ever wondered how to use OpenAI APIs to create custom chatbots? With advancements in large language models (LLMs),…

9 months ago
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