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Building and Serving a RAG Agent with Custom Tools: A Complete Guide

Building and Serving a RAG Agent with Custom Tools: A Complete Guide

Goal The goal of this article is to demonstrate how to create a Large Language Model (LLM) agent using LangGraph and LangChain, which will perform Retrieval-Augmented Generation (RAG) on a

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Which AI agent framework to use？Dify? LangChain? AutoGen? 9 Top used framework explained!

Which AI agent framework to use？Dify? LangChain? AutoGen? 9 Top used framework explained!

Developing AI agents involves selecting the right framework to match your project’s requirements, whether they are basic tasks, secondary development, or enterprise-level integrations. This guide

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Building RAG for Product Recommendation using Google Gemini 2.0 API’s

Building RAG for Product Recommendation using Google Gemini 2.0 API’s

A Comparison of LangChain and Vertex AI RAG Engine on Amazon Product Data using Vertex AI Search Google has always seemed behind in the AI race, but with the release of Gemini 2.0

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Building a Custom AI Jira Agent

Building a Custom AI Jira Agent

How I used Google Mesop, Django, LangChain Agents, CO-STAR & Chain-of-Thought (CoT) prompting combined with the Jira API to better automate Jira The inspiration for this project came f

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Agentic RAG Series: Exploring LangGraph for Advanced Workflows

Agentic RAG Series: Exploring LangGraph for Advanced Workflows

Stuck behind a paywall? Read for Free! Introduction In the previous article, we introduced the concept of Agentic RAG, highlighting how it extends the traditional Retrieval-Augme

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How I Extract Information from any Website in Seconds with AI

How I Extract Information from any Website in Seconds with AI

Use Langchain, OpenAI, Bright Data, and NextJS to build an AI tool that scrapes, extracts, and analyzes data for free. “Useful” data is the backbone of informed decision-making and strate

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Build Production Ready AI Assistant Backend Service (in Python) — Part 1

Build Production Ready AI Assistant Backend Service (in Python) — Part 1

— Learn the best practices for building production-ready applications. *Disclosure — *the contents in this article are my own, and represent no one but myself and not those of my current or pas

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From Posts to Reports: Leveraging LLMs for Social Media Data Mining

From Posts to Reports: Leveraging LLMs for Social Media Data Mining

How to instruct LLMs to filter restaurant posts and extract critical insights for business growth. Application Overview We’re living in the golden age of automation, powered by the r

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LangChain vs. LlamaIndex: A Comprehensive Comparison for Retrieval-Augmented Generation (RAG)

LangChain vs. LlamaIndex: A Comprehensive Comparison for Retrieval-Augmented Generation (RAG)

Introduction Retrieval-Augmented Generation (RAG) combines information retrieval with generative models, making it a powerful technique for applications like question answering, summarizat

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CrewAI: Your Personal Army of AI Agents, Collaborating for You

CrewAI: Your Personal Army of AI Agents, Collaborating for You

What the CrewAI framework is ? The power of AI collaboration has too much to offer. CrewAI is designed to enable AI agents to assume roles, share goals, and operate in a cohesive unit — muc

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How to build an AI-Powered SQL Data Analysis Agent with LangChain and CrewAI

How to build an AI-Powered SQL Data Analysis Agent with LangChain and CrewAI

In today’s data-driven world, automating workflows for data extraction, analysis, and reporting is critical to saving time and improving efficiency. This tutorial walks you through building an AI

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Navigating the AI Agent Landscape: In-Depth Analysis of Autogen, CrewAI, LlamaIndex, and LangChain…

Navigating the AI Agent Landscape: In-Depth Analysis of Autogen, CrewAI, LlamaIndex, and LangChain…

This article will give you clear visualization on what framework or tool to select for your business use case while developing an “Agentic Application”. Introduction In the fast evolving la

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A multi-agentic way of implementing complex LLM applications using LangGraph framework

A multi-agentic way of implementing complex LLM applications using LangGraph framework

Add LangGraph to your repertoire of GenAI related skills. This one skill can straightaway enable you to create complex AI systems today. The pre-requisite of course is to have an understanding

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Building AI Agents to Automate Enterprise-Level Software Development: A Practical Perspective

Building AI Agents to Automate Enterprise-Level Software Development: A Practical Perspective

Randy Zhang and Shamin Aggarwal Agentic AI is a software application that is based on Large Language Models (LLMs) to automate tasks by simulating human-like reasoning and decision-making. It h

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Building a Dynamic Multi-Agent Workflow: Harnessing AI Collaboration with LangChain & LangGraph

Building a Dynamic Multi-Agent Workflow: Harnessing AI Collaboration with LangChain & LangGraph

This article utilizes LangChain and LangGraph to create a simple, multi-agent system. The agents work together to fulfill a task. The first agent generates a sequence of random numbers, and

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LangGraph: The Future of Advanced Multi-Agent Workflows

LangGraph: The Future of Advanced Multi-Agent Workflows

The world of artificial intelligence is evolving rapidly, and tools like LangChain and LangGraph are at the forefront of enabling developers to build intelligent systems efficiently. If you’ve hea

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Program a RAG LLM Chat App with LangChain + Streamlit + *o1, GTP-4o and Claude 3.5

Program a RAG LLM Chat App with LangChain + Streamlit + *o1, GTP-4o and Claude 3.5

Learn how to build a RAG web application using Python, Streamlit and LangChain, so you can chat with Documents, Websites and other custom data. GitHub Code: <https://github.com/enricd/rag_l

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Building Autonomous Multi-Agent Systems with CrewAI

Building Autonomous Multi-Agent Systems with CrewAI

What‘s Multi-Agent Autonomous System and How to build one with CrewAI and LangChain? Motivation In fact, we are not unfamiliar with these concepts; we know them from movies. A person comm

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Build a RAG-based scientific ChatBot with LangChain, Streamlit & PubMed — Part 4(Put it all…

Build a RAG-based scientific ChatBot with LangChain, Streamlit & PubMed — Part 4(Put it all…

Hello and welcome to the last part of the series to build a scientific ChatBot with Langchain, Streamlit, and PubMed! In the previous part, we built the data persistence and RAG pipeline with v

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Multi-Agent Hedge Fund Simulation with LangChain and LangGraph

Multi-Agent Hedge Fund Simulation with LangChain and LangGraph

Multi-Agent Hedge Fund Simulation with LangChain and LangGraph This project demonstrates how to use a multi-agent setup to simulate a hedge fund’s analytical process. It showcases a practic

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Multimodal RAG with Gemini Pro and LangChain

Multimodal RAG with Gemini Pro and LangChain

Introduction In this tutorial, we will explore the integration of Gemini Pro and Gemini Pro Vision with the [LangChain](https://www.

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Intelli-agent: Langchain, CrewAI and AutoGen Compared

Intelli-agent: Langchain, CrewAI and AutoGen Compared

1. Overview of AI Agent Frameworks In the dynamic landscape of artificial intelligence, choosing the right framework is a crucial decision for every data scientist and developer. The AI ag

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Generating structured data from an image with GPT vision and Langchain

Generating structured data from an image with GPT vision and Langchain

In today’s world, where visual data is abundant, the ability to extract meaningful information from images is becoming increasingly valuable. Langchain, a powerful framework for building applica

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LangGraph vs. LangChain vs. LangFlow vs. LangSmith: Which One to Use & Why?

LangGraph vs. LangChain vs. LangFlow vs. LangSmith: Which One to Use & Why?

Discover the key differences between LangGraph, LangChain, LangFlow, and LangSmith, and learn which framework is best suited for your language model applications — from workflow building to p

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