LangChain is an open-source framework that enables building simple and complex Large Language Model (LLM) powered applications. It allows us to use chains to orchestrate a series of prompts to achieve a desired outcome. No matter your level of expertise, you'll find the material simple and easy to follow. Go ahead, and take a peak at some of the articles below.
AutoGen
The more options we have, the harder the decision to take. Luckily, we're going to explore the most popular AI multi-agent frameworks in this post so you can make the right choice!
LangChain
In this tutorial, we’ll build a LangGraph app that revitalizes your old resume, helping it shine and grab the attention of your future employer.
General
Let's face it, AI is trending. The space is overcrowded and choosing from the many tools and frameworks IS confusing. Read this to simplify your decision.
crewAI
After playing around with crewAI, I just want to automate everything. You may think that creating AI agents that can work together to accomplish tasks is a complex job. Newsflash: crewAI makes it super-easy.
LangChain
In this post, you'll learn how you can set up and integrate Amazon Bedrock with your LangChain app for an end-to-end RAG pipeline
LangChain
A task like converting a PDF to JSON used to be complicated but can now be done in a few minutes. In this post, we're going to see how LangChain and GPT can help us achieve this.
LangChain
Confused between LangChain and Semantic Kernel? This short post will help you choose the most suitable framework for your RAG app.
LangChain
Another day, another data framework... We can't catch a break! One of the latest kids on the block, Embedchain seems to be gaining popularity, so I took it for a spin and wrote this post to show you how it's different from one of the most popular data frameworks out there, LangChain.
LangChain
Are you just getting started with LangChain? You've come to the right place! This post covers everything you need to know to get started quickly.
LangChain
The LangChain framework allows you to build a RAG app easily. In this tutorial, see how you can pair it with a great storage option for your vector embeddings using the open-source Chroma DB.
LangChain
OpenAI GPTs are trending and for a good reason. Anyone can now create their own custom ChatGPT and publish it for everyone to use. But did you know that there's an open-source alternative that does the same thing without the OpenAI platform lock-in?
Programming
This tutorial will guide you through the process of setting up the Milvus Vector Database and querying stored embeddings using the LangChain framework.
LangChain
Whether you're playing around with LangChain or building the next big RAG LLM app, you'll probably run into one of these issues at some point.
LangChain
Editing and customizing the internals of LangChain agents and chains is not a pleasant experience. LangChain Templates solves this issue by exposing the inner workings as downloadable templates.
General
Today, we're going to take a look at Haystack, LangChain, and LlamaIndex and how these tools make it easy for us to build RAG apps.
Programming
If you're wondering how you can convert the text returned by an LLM to a Pydantic (JSON) model in your Python app, this post is for you.
