Ollama-deep-research is an open-source agent similar to OpenAI deep research. Of course, its functionality is much weaker than that of OpenAI deep research, but it allows you to experience how to use agents for research topics and how to develop agents based on the Langgraph framework. The ollama-deep-research agent generates the content to be retrieved … Read more
▼Recently, there have been many live broadcasts,make an appointment to ensure you gain something Today’s live broadcast:《Building Agent Industrial Applications with RAG and GPTs Practical Implementation》 —1— LangGraph Technical Architecture Interpretation LangGraph is a tool for building stateful and multi-role Agent applications. It is not a new framework independent of Langchain, but rather an extension … Read more
1 Introduction In recent years, AI agents have been widely integrated into various business processes, fundamentally changing the way decisions are made. AI-driven systems can automatically perform routine tasks, saving time and resources. However, when dealing with complex decisions, such as expense approvals or customer service inquiries, human judgment remains indispensable. This is where the … Read more
Click 👇🏻 to follow, article from 🙋♂️ Friends who want to join the community can check the method at the end of the article to communicate in the group. “ When building an AI Agent system, persistence and streaming are two key concepts. Persistence allows us to save the Agent’s state at any time so … Read more
1. What Is LangGraph Why Use LangGraph? Developing agents using frameworks like langchain involves significant development effort, lacks flexibility, and incurs high modification costs. Reducing development effort while increasing the flexibility of agents is a key point for promoting agents. LangGraph supports production-grade agents and is trusted by companies like Linkedin, Uber, Klarna, and GitLab. … Read more
In Part 1, “LangGraph Practical Series Part 1: Creating Stateful Multi-Agent Applications“, I added short-term memory to the chatbot, allowing it to retain context during conversations. In this section, I will take it a step further by introducing tools into our chatbot. Tools allow the chatbot to retrieve real-time data from external sources, making it … Read more
Getting Started with LangGraph: Enhancing Chatbots with Tools In today’s rapidly evolving AI field, chatbots have become an indispensable part of our lives. Whether providing customer service, answering questions, or engaging in simple social interactions, chatbots demonstrate immense potential. However, traditional chatbots are often limited by their training data and cannot access the latest information … Read more
In this extremely detailed Tutorial, we will explore LangGraph — a powerful library for coordinating complex multi-step workflows, suitable for large language models (LLMs) — and apply it to a common e-commerce problem: deciding whether to place or cancel an order based on user queries. By the end of this blog, you will understand how … Read more
LangGraph is not a new framework independent of LangChain, but rather an extension library built on top of LLM and LangChain, enabling seamless collaboration with existing chains in LangChain. LangGraph can coordinate multiple Chains, Agents, Tools, etc., to collaboratively perform Q&A tasks that depend on external tools and databases with feedback. We will first create … Read more
At Doctolib, our mission is not just to build the healthcare system we dream of — we are changing the way health professionals interact with technology. Two ambitious goals drive us: to ensure satisfaction for health professionals using our solutions and to accelerate our pace of innovation. But ambition comes with great responsibility, especially in … Read more