What is MCP? MCP is an open protocol that standardizes how applications provide context to LLMs. It is thought of as
Tag: AI
Building a Text-to-Speech(TTS) Application Using OpenAI and LangChain
Introduction Text-to-speech (TTS) technology has significantly evolved. It allows machines to generate human-like voices for various applications, like virtual assistants,
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
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
When to use Huggingface transformers and pipeline
Hugging Face provides two primary APIs for Natural Language Processing (NLP) tasks: Transformers and Pipelines. While they share some similarities,
Quick ChatGPT integration with your Python code
I will give a quick dive into ChatGPT API in this post. I am assuming you have the knowledge of