Document Retrieval

LangGraph Empowers RAG Research Agents to Tackle Complex Queries!

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LangGraph Empowers RAG Research Agents to Tackle Complex Queries!

This article introduces a practical project that uses LangGraph to develop a RAG research multi-agent tool. This tool is designed to solve complex problems that require multiple sources and iterative steps to arrive at a final answer. It employs hybrid search and Cohere reordering steps to retrieve documents, and also includes a self-correction mechanism, including … Read more

Building RAG Q&A System Using LangGraph

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Building RAG Q&A System Using LangGraph

In this tutorial, we will learn how to build an intelligent document retrieval system using langgraph. This system can extract information from web pages, perform intelligent segmentation, and achieve precise Q&A functionality through query analysis and vector retrieval. 1. Install Dependencies <span>pip install beautifulsoup4</span> 2. Import Necessary Libraries import bs4 from typing import Literal from … Read more