If you're looking for a simple way to automatically send intelligent emails using data from Airtable and the power of OpenAI, then you're in the right place. In this guide, I’ll walk you through building an n8n automation that pulls data from Airtabl...
Hypothetical Document Embeddings-HyDE 🤓 Explanation In HyDE - Hypothetical Document Embeddings, when a user asks a question, we use an LLM like GPT-4.1 to provide an initial answer. We then use that answer to search through the documents and produc...
This Blog is part of series, where it started with basics of RAG. The series of blog then discussed into fine RAG tuning techniques and discussed about Parallel Query (Fan Out) Retrieval. We would be covering Reciprocal Rank Fusion as next fine-tunin...
This Blog is part of series, where it started with basics of RAG. The series of blogs will now deep dive into fine RAG tuning techniques. We would be covering following fine-tuning techniques. This part of the blog will focus on Parallel Query (Fan O...
Forget hiring a team to qualify leads or respond to repetitive support queries. What if you could build your own digital employee, a GPT-4o-powered AI agent that works 24/7, scales instantly, and actually learns over time? This isn’t just another AI ...
This Blog starts with basics of RAG then goes into series of blogs that covers fine tuning techniques. RAG (Retrieval Augmented Generation) Let’ first try to understand what is RAG and whys is it required? LLM (i.e. Large Language Models) like GPT, G...
What Can a Base LLM Model Actually Do? Imagine a base LLM (Large Language Model) as a really smart text-predicting machine. You type something, and its job is to guess—word by word—what comes next. That’s it. No magic. Just a really powerful autocomp...
RAG Flow with Project 📢 Haven’t checked Chapter 1. Here you can — Intro to the RAG Race 🏁 Chapter 2: Complete RAG Flow Introduction Quick Recap of Chapter 1 In the last chapter, you learned the basic theory of RAG, including what it is, why...
Chain of Thought - CoT 🤓 Explanation First, take the user query and create a system prompt to send it to an LLM like OpenAI or Gemini. The LLM will convert the query into 3, 5, or 10 different queries, giving us an array of questions. Let us say...
Hey fellow developers! 👋 If you've been diving into the world of AI integration lately, you've probably come across LangChain. It's become something of a standard in the AI tooling ecosystem. But today, I want to talk about an alternative approach t...
