langchain - Nomidl

Document Loaders in Langchain

In this article, we will be looking at multiple ways which langchain uses to load document to bring information from various sources and prepare it for processing. These loaders act like data connectors, fetching information and converting it into a format Langchain understands. There are a lot of document loaders in LangChain and you can…

A Practitioners Guide to Retrieval Augmented Generation (RAG)

“The power of artificial intelligence is the power to transform humans.” – Fei-Fei Li Welcome to our comprehensive guide on Retrieval Augmented Generation (RAG), a revolutionary technique that combines powerful search capabilities with generative AI to enhance AI systems like langchain, a leading large language model. In this guide, we will explore the concept of…

Building First Prompt Templates with OpenAI Language Models

Introduction In this blog post, we will explore how to build your first prompt and prompt templates using OpenAI Language Models. Language models are powerful tools that can generate text based on the input provided to them. By creating prompts and prompt templates, we can guide the language models to generate specific types of text…

Exploring LangChain: The Framework for Building AI Applications

In this article we will be exploring the framework that we can use to integrate AI intoour applications and build AI-powered applications. AI is being widely used, and it is the future, regardless of the type of application. I’llalso explain the kinds of applications you can build with AI. Integrating AI hasbecome a must to…