关键词 "langchain" 的搜索结果, 共 24 条, 只显示前 480 条
Powerful AI Bot Platform Built for Business
Spell is a platform with AI agents powered by GPT4 to help delegate and complete tasks.
GitterBot.io is an AI platform for conversational documentation in SaaS companies.
Seamless and context-aware natural language interactions for CSV data understanding.
LangChain 框架虽然可以独立使用,但它也可以与任何 LangChain 产品无缝集成,为开发人员在构建 LLM 应用程序时提供全套工具。 LangChain 通过模型、嵌入、向量存储等的标准接口帮助开发人员构建由 LLM 驱动的应用程序。 LangChain 的用途: 实时数据增强。轻松将 LLM 连接到各种数据源和外部/内部系统,利用 LangChain 庞大的集成库,其中
Langchain-Chachat(原Langchain-ChatGLM)基于Langchain与ChatGLM、Qwen与Llama等语言模型的RAG与Agent应用| Langchain-Chatatch(以前称为 langchain-ChatGLM),基于本地知识的 LLM(如 ChatGLM、Qwen 和 Llama)RAG 和带有 langchain 的代理应用程序 ✅ 本项目支持主流
LangChain for Java:利用 LLM 的强大功能增强你的 Java 应用程序 LangChain4j 的目标是简化 LLM 与 Java 应用程序的集成。 方法如下: 统一的 API: LLM 提供商(例如 OpenAI 或 Google Vertex AI)和嵌入(向量)存储(例如 Pinecone 或 Milvus)使用专有 API。LangChain4j 提供统一
流程编排:内置工作流引擎支持 RAG 流程自动化,结合 LangChain 实现企业级任务分解。 架构模式:企业知识管理导向,基于 Python/Django 后端,支持 PostgreSQL + pgvector 混合检索,模块化设计便于集成。 部署:支持私有化部署与 API 开放对接,适配企业级权限管理。
🚀 mcp-use is a TypeScript library that makes it easy to connect LangChain.js-compatible LLMs with MCP servers. Build powerful, flexible AI agents with dynamic tool access and multi-server support.
This repo is for Praticing the Langgraph,Langchain,AI Automation and other stuff along with these MCP server,client implementation
With this MCP, you can debug your application by querying any issue to an LLM using the latest documentation available on the web. We currently support LangChain, LlamaIndex, and OpenAI docs, but you
integrating Airbnb MCP servers with LangChain and Groq using a browser-based interface
This Streamlit application provides a user interface for connecting to MCP (Model Context Protocol) servers and interacting with them using different LLM providers (OpenAI, Anthropic, Google...).
This sample implements the Langchain MCP adapter to the Box MCP server.
Sample MCP Server & Client setup, compatible with LangChain
Embeddable Model Context Protocol (MCP) solution for AI services. Seamlessly integrate MCP servers with OpenAI Agents, LangChain, and Autogen frameworks through a unified interface. Simplifies configu
AgentChat 是一个与Agent交流的平台,包含默认Agent,并支持自定义Agent,可以实现多轮问答使Agent帮助用户想实现的功能。该项目技术栈包括LLM、LangChain、Function call、ReAct、MCP、Milvus、ElasticSearch、RAG、FastAPI
Addapter that turns MCP server tools into langchain usable tools
Testing creation of simple MCP servers and integrating with LangChain agent
LangChain Agent with MCP Servers: Using LangChain MCP Adapters for tool integration.
Learning how to build mcp-servers to connect in llms via langchain
Example of using MCP servers, both over sdio + sse. Also using langchain-mcp
Learning how to interact with LLM from MCP Servers with JBang, Quarkus & Langchain4j
Unlock 650+ MCP servers tools in your favorite agentic framework.
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