框架与类库:LangGraph
Gemini Fullstack LangGraph 技术架构详解
这篇文章主要介绍了如何快速分享代码、笔记和代码片段。通过克隆指定的GitHub Gist仓库,用户可以轻松获取并保存相关代码到本地,并在GitHub Desktop中使用。操作简单,适合开发者快速共享和协作。
LangGraph AI智能体如何通过知识图谱实现更强智能?以供应链管理系统为例
使用图数据库与大型语言模型(LLM)结合,增强检索生成(RAG)系统的能力。通过将非结构化文本转为向量嵌入,并利用知识图谱(如Neo4j)处理结构化数据,实现复杂查询。通过集成LLM和知识图谱,结合语义搜索与精确查询,创建一个强大的RAG应用程序。该系统支持供应商过滤、计数、分组和基于描述的语义搜索,为企业数据处理提供全方位解决方案。
Build a Powerful Multi-Modal Search with Voyager-3 and LangGraph
Voyager 3 from Voyage AI is a new state-of-the-art model that allows you to embed text and images into the same space. In this post, I will explain how to extract these multi-modal embeddings from a magazine, store them in a vector database (Weaviate), and perform a similarity search across text and images using the same embedding vectors.
How to use Server-Sent Events with FastAPI, React, and Langgraph
Learn all you need to implement streaming in production using SSE and how to handle streaming errors.