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Tag: RAG

AI Technology

Speech to text(STT) using whisper and langchain

March 3, 2025March 3, 2025

Here you learn how to convert Speech to Text using Whisper an OpenAI speech transcribing model. Code link: https://github.com/sushmasush/langGraph/blob/main/SpeechtoText.ipynb Data: https://github.com/sushmasush/langGraph/blob/main/data/joyfully.wav Load

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AI Technology

Human in loop implementation using LangChain

November 28, 2024November 28, 2024

Human-in-loop implementations are becoming critical as situations arise where evaluations and corrections are necessary based on the response generated. These

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AI Technology

Error handling in langchain

November 5, 2024November 6, 2024

No one likes to talk about Errors! As the code base grows we start to encounter various issues propping up

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AI Technology

Check relevance, hallucination and create a fallback option in LangGraph

October 21, 2024October 21, 2024

Conditional logic helps analyze the generated data’s relevance based on specific criteria. This involves understanding the relevance, details, and how

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AI Technology

A simple agent using LangGraph with RAG context and web search

October 7, 2024October 8, 2024

In this article, I created a study assistant that helps prepare cheat sheets, notes, and plans for your time allocated.

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AI Technology

LangGraph connected to a RAG

October 1, 2024October 1, 2024

I write here about how you could leverage RAG by keeping the content in a vector Database and by using

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AI Technology

LangGraph Introduction and when is it beneficial

September 23, 2024September 23, 2024

What is LangGraph? LangGraph is a Python-based framework that enables developers to create sophisticated, multi-step workflows for AI models. It

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AI Technology

A medical RAG web application

August 2, 2024August 20, 2024

Project Overview In this project, I developed a Retrieval-Augmented Generation (RAG) system designed to enhance natural language processing capabilities by

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AI Technology

Langchain Tools and Agents use cases with examples

August 2, 2024August 20, 2024

This is the third in the series made for your understanding of LangChain. View the other 2 below: LangChain—a revolutionary

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  • What you get is an example for each concept in
    • Variables
    • operators
    • OOP basics
    • collections
    • conditionals
    • best practices.
  • Glance through and refresh an example of all the topics listed above. Highly helpful for refreshing basics for interviews, exams, or tests in C#.
    Click subscribe and download your copy of the cheat sheet.

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