LangChain-ReAct-Agent
基于 LangChain/LangGraph 的 ReAct Agent ,结合 RAG、工具调用与 Streamlit 界面,面向智能客服与报告生成场景。
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Capability tag · curated repositories and deep analysis.
基于 LangChain/LangGraph 的 ReAct Agent ,结合 RAG、工具调用与 Streamlit 界面,面向智能客服与报告生成场景。
一个本地优先的AI知识库系统(RAG),用于把本地文档接入辅导搜索与大模型对话流程。目前支持md、txt、pdf(文本)、xlsx、cvs类型。支持mcp服务
Dynamic-memory-first collaborative AI framework for long-form story generation, chapter planning, and coherent narrative writing
Open-source reference implementations for AI-enabled payment security, blockchain fraud detection, and AML/CFT compliance reasoning.
Claude Code skill for OWASP security best practices (2025-2026). Includes Top 10:2025, ASVS 5.0, Agentic AI security, and 20+ language-specific security quirks.
Deepdive skill for Claude Code — 12-phase research pipeline: plan-review gate, parallel sub-agent search, claims-ledger triangulation with dissent protection, relevance × authority evidence filter, multi-angle red team, four-layer citation verification. 105 blocks, 29 channels, 460+ stat sources, 47 APIs, 1072 verified endpoints.
Program that lets you ask questions about your documents, audio, and video files.
🦛 CHONK your texts with Chonkie ✨ Type-friendly, light-weight, fast and super-simple chunking library
DataMate is an enterprise-level data processing platform designed for model fine-tuning and RAG retrieval.
A Fork of Rikkahub with an overhauled UI and feature additions
The Hitchhiker's Guide to Agentic AI: From Foundations to Systems | 智能体 AI 漫游指南:从基础到系统(中文翻译版)
Built on **Agentic RAG** (Agent-driven Retrieval-Augmented Generation) technology, it not only accurately answers pre-sales and after-sales questions but also generates personalized usage reports and optimization suggestions by deeply analyzing device data.
🌱 Argus 是一个基于 RAG 架构的开源知识库平台,后端采用 Java 21 + Spring Boot + MyBatis-Plus + PostgreSQL/pgvector,前端采用 Vue 3 + TypeScript + Element Plus,AI 层基于 Spring AI Alibaba(通义千问)+ ReactAgent 图引擎,以 MinIO + Elasticsearch 为存储与检索引擎。
本地优先的二次元陪伴学习应用 · Local-first anime companion and study app.
Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python + TypeScript SDKs.
Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.
High-performance AI memory retrieval for local agent history — a Rust search core (SDK / API / JSON CLI) plus a desktop GUI. Tantivy + Jieba keyword search, optional semantic recall, stable Turn/Run/Session/Project IDs.
Local-first AI conversation memory hub to capture, search, summarize, and export chats across major AI platforms. 本地优先的 AI 对话记忆与知识中台。
Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻🍳
Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.