| 1 |
dify |
141171 |
22181 |
TypeScript |
269 |
Production-ready platform for agentic workflow development. |
2026-05-13T06:23:31Z |
| 2 |
open-webui |
136842 |
19494 |
Python |
143 |
User-friendly AI Interface (Supports Ollama, OpenAI API, …) |
2026-05-13T03:44:13Z |
| 3 |
langchain |
136589 |
22591 |
Python |
405 |
The agent engineering platform. |
2026-05-13T05:25:22Z |
| 4 |
awesome-llm-apps |
110022 |
16292 |
Python |
3 |
100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
2026-05-09T20:59:06Z |
| 5 |
ragflow |
80392 |
9172 |
Python |
2862 |
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs |
2026-05-13T06:10:50Z |
| 6 |
PaddleOCR |
77731 |
10423 |
Python |
142 |
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages. |
2026-05-13T05:48:48Z |
| 7 |
claude-mem |
75305 |
6469 |
TypeScript |
49 |
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More |
2026-05-13T03:38:38Z |
| 8 |
Prompt-Engineering-Guide |
74510 |
8046 |
MDX |
174 |
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. |
2026-03-11T20:09:13Z |
| 9 |
pathway |
63297 |
1657 |
Python |
34 |
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. |
2026-05-13T05:26:39Z |
| 10 |
anything-llm |
59961 |
6482 |
JavaScript |
319 |
The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration. |
2026-05-13T01:04:34Z |
| 11 |
llm-app |
59748 |
1435 |
Jupyter Notebook |
6 |
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more. |
2026-01-07T11:59:38Z |
| 12 |
mem0 |
55547 |
6316 |
Python |
113 |
Universal memory layer for AI Agents |
2026-05-12T20:29:47Z |
| 13 |
Flowise |
52779 |
24330 |
TypeScript |
644 |
Build AI Agents, Visually |
2026-05-12T19:08:47Z |
| 14 |
ruflo |
49888 |
5551 |
TypeScript |
414 |
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration |
2026-05-12T18:39:23Z |
| 15 |
llama_index |
49374 |
7399 |
Python |
173 |
LlamaIndex is the leading document agent and OCR platform |
2026-05-11T20:18:56Z |
| 16 |
hello-agents |
48562 |
5832 |
Python |
62 |
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程 |
2026-05-11T14:08:22Z |
| 17 |
graphify |
47346 |
5138 |
Python |
98 |
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph. |
2026-05-12T13:53:33Z |
| 18 |
JeecgBoot |
46212 |
15983 |
Java |
11 |
AI低代码平台，支持「低代码 + 零代码」双模式：零代码 5 分钟搭建业务系统，低代码模式一键生成前后端代码。 内置AI 应用，支持AI聊天、知识库、流程编排、MCP与插件，支持各种模型。Skills能力实现：一句话画流程图、设计表单、生成系统。 引领 AI生成→在线配置→代码生成→手工合并的开发模式，解决Java项目80%的重复工作，快速提高效率，又不失灵活性。 |
2026-05-13T05:44:21Z |
| 19 |
milvus |
44263 |
3999 |
Go |
671 |
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search |
2026-05-13T06:12:11Z |
| 20 |
mindsdb |
39162 |
6202 |
Python |
49 |
AI Data Vault - A query engine for AI Agents to securely query data from any datasource |
2026-05-09T01:23:03Z |
| 21 |
quivr |
39149 |
3747 |
Python |
5 |
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want. |
2025-07-09T12:55:23Z |
| 22 |
GitNexus |
38046 |
4351 |
TypeScript |
231 |
GitNexus: The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a GitHub repo or ZIP file, and get an interactive knowledge graph wit a built in Graph RAG Agent. Perfect for code exploration |
2026-05-13T05:43:43Z |
| 23 |
Langchain-Chatchat |
38013 |
6204 |
Python |
15 |
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain |
2025-11-10T09:27:42Z |
| 24 |
LightRAG |
35121 |
4982 |
Python |
192 |
[EMNLP2025] “LightRAG: Simple and Fast Retrieval-Augmented Generation” |
2026-05-13T02:45:30Z |
| 25 |
ai-engineering-hub |
34953 |
5803 |
Jupyter Notebook |
19 |
In-depth tutorials on LLMs, RAGs and real-world AI agent applications. |
2026-05-05T23:11:24Z |
| 26 |
khoj |
34527 |
2199 |
Python |
80 |
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free. |
2026-03-26T03:35:43Z |
| 27 |
Vane |
34356 |
3753 |
TypeScript |
205 |
Vane is an AI-powered answering engine. |
2026-04-11T14:33:06Z |
| 28 |
graphrag |
32945 |
3496 |
Python |
41 |
A modular graph-based Retrieval-Augmented Generation (RAG) system |
2026-05-12T18:58:03Z |
| 29 |
langgraph |
31914 |
5417 |
Python |
290 |
Build resilient agents. |
2026-05-13T05:27:40Z |
| 30 |
PageIndex |
30904 |
2636 |
Python |
78 |
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG |
2026-05-13T05:56:35Z |
| 31 |
happy-llm |
30225 |
2846 |
Jupyter Notebook |
50 |
📚 从零开始构建大模型 |
2026-05-06T16:17:10Z |
| 32 |
onyx |
29340 |
3968 |
Python |
114 |
Open Source AI Platform - AI Chat with advanced features that works with every LLM |
2026-05-13T05:29:57Z |
| 33 |
sim |
28484 |
3592 |
TypeScript |
100 |
Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce. |
2026-05-13T06:30:48Z |
| 34 |
FastGPT |
28020 |
7089 |
TypeScript |
169 |
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration. |
2026-05-13T04:18:53Z |
| 35 |
RAG_Techniques |
27292 |
3284 |
Jupyter Notebook |
4 |
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial. |
2026-04-15T15:30:57Z |
| 36 |
graphiti |
26004 |
2586 |
Python |
230 |
Build Real-Time Knowledge Graphs for AI Agents |
2026-05-11T17:18:52Z |
| 37 |
kotaemon |
25376 |
2118 |
Python |
209 |
An open-source RAG-based tool for chatting with your documents. |
2026-04-03T11:28:24Z |
| 38 |
haystack |
25209 |
2783 |
MDX |
92 |
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems. |
2026-05-12T20:14:35Z |
| 39 |
Scrapegraph-ai |
25183 |
2290 |
Python |
1 |
Python scraper based on AI |
2026-05-10T13:56:13Z |
| 40 |
DeepTutor |
23850 |
3175 |
Python |
25 |
“DeepTutor: Agent-Native Personalized Learning Assistant” |
2026-05-12T11:14:12Z |
| 41 |
OpenViking |
23838 |
1770 |
Python |
93 |
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving. |
2026-05-13T06:21:27Z |
| 42 |
pandas-ai |
23533 |
2314 |
Python |
10 |
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG. |
2025-10-28T10:02:13Z |
| 43 |
vanna |
23437 |
2377 |
Python |
227 |
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄. |
2026-02-02T14:14:20Z |
| 44 |
crawlee |
23243 |
1363 |
TypeScript |
138 |
Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation. |
2026-05-12T15:13:44Z |
| 45 |
awesome-n8n-templates |
22119 |
6003 |
None |
9 |
280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, OpenAI, and more. AI agents, RAG chatbots, email automation, social media, DevOps, and document processing. The largest open-source n8n template collection. |
2026-04-09T17:13:26Z |
| 46 |
GenAI_Agents |
21977 |
3673 |
Jupyter Notebook |
2 |
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems. |
2026-04-15T15:30:29Z |
| 47 |
promptfoo |
21195 |
1837 |
TypeScript |
73 |
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic. |
2026-05-13T01:14:01Z |
| 48 |
opendataloader-pdf |
21183 |
1966 |
Java |
28 |
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source. |
2026-05-13T05:08:06Z |
| 49 |
MaxKB |
20954 |
2821 |
Python |
54 |
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。 |
2026-05-13T05:59:15Z |
| 50 |
CV |
20943 |
2395 |
Jupyter Notebook |
18 |
✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】 |
2026-04-27T00:45:57Z |
| 51 |
coze-studio |
20756 |
3006 |
TypeScript |
463 |
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation. |
2026-04-20T09:20:44Z |
| 52 |
RAG-Anything |
20119 |
2293 |
Python |
96 |
“RAG-Anything: All-in-One RAG Framework” |
2026-05-11T09:19:29Z |
| 53 |
12-factor-agents |
19775 |
1497 |
TypeScript |
11 |
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers? |
2025-09-21T14:37:40Z |
| 54 |
opik |
19283 |
1472 |
Python |
87 |
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. |
2026-05-13T06:08:32Z |
| 55 |
DB-GPT |
18731 |
2692 |
Python |
372 |
open-source agentic AI data assistant for the next generation of AI + Data products. |
2026-05-13T03:42:39Z |
| 56 |
eliza |
18357 |
5530 |
JavaScript |
11 |
Autonomous agents for everyone |
2026-05-13T06:31:12Z |
| 57 |
llama-cookbook |
18330 |
2727 |
Jupyter Notebook |
19 |
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services |
2026-05-12T11:08:24Z |
| 58 |
DocsGPT |
17875 |
2039 |
Python |
16 |
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents. |
2026-05-11T22:05:16Z |
| 59 |
cognee |
17201 |
1798 |
Python |
34 |
Memory control plane for AI Agents in 6 lines of code |
2026-05-13T00:26:58Z |
| 60 |
Qwen-Agent |
16318 |
1602 |
Python |
408 |
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc. |
2026-03-04T08:15:07Z |
| 61 |
RagaAI-Catalyst |
16157 |
3607 |
Python |
18 |
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view |
2026-02-11T14:43:33Z |
| 62 |
LangBot |
16012 |
1420 |
Python |
110 |
Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台. 提供 Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书 / 钉钉 / QQ / Satori e.g. Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze, Claude, Gemini, MiniMax, Ollama, SiliconFlow, Moonshot, GLM, clawdbot / openclaw |
2026-05-13T03:59:32Z |
| 63 |
memvid |
15469 |
1333 |
Rust |
15 |
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory. |
2026-05-06T18:37:48Z |
| 64 |
WrenAI |
15189 |
1717 |
Rust |
265 |
The open context layer that gives AI agents grounded, governed SQL across 20+ data sources, that helps you build GenBI, text-to-sql, dashboards, and advanced analytics. |
2026-05-13T05:47:10Z |
| 65 |
llmware |
14861 |
2938 |
Python |
67 |
Unified framework for building enterprise RAG pipelines with small, specialized models |
2026-05-11T22:23:03Z |
| 66 |
WeKnora |
14771 |
1829 |
Go |
145 |
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki. |
2026-05-13T05:36:52Z |
| 67 |
Memori |
14405 |
2052 |
Python |
7 |
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. |
2026-05-12T17:00:49Z |
| 68 |
easy-dataset |
14223 |
1436 |
JavaScript |
107 |
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval |
2026-05-01T15:03:32Z |
| 69 |
SurfSense |
14206 |
1347 |
Python |
96 |
An open source, privacy focused alternative to NotebookLM for teams with no data limits. Join our Discord: https://discord.gg/ejRNvftDp9 |
2026-05-11T19:50:25Z |
| 70 |
ragas |
13891 |
1410 |
Python |
305 |
Supercharge Your LLM Application Evaluations 🚀 |
2026-02-24T07:47:19Z |
| 71 |
ai-guide |
13702 |
1541 |
JavaScript |
5 |
程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude）、最新 AI 资讯、Prompt 提示词大全、AI 知识百科（Agent Skills / RAG / MCP / A2A）、AI 编程教程（Harness Engineering）、AI 工具用法（Cursor / Claude Code / TRAE / Codex / Copilot）、AI 开发框架教程（Spring AI / LangChain）、AI 产品变现指南，帮你快速掌握 AI 技术，走在时代前沿。本项目为开源文档，已升级为鱼皮 AI 导航网站 |
2026-04-30T15:25:20Z |
| 72 |
llm-universe |
12981 |
1336 |
Jupyter Notebook |
9 |
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/ |
2026-02-24T14:33:21Z |
| 73 |
txtai |
12482 |
810 |
Python |
8 |
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows |
2026-05-12T19:24:31Z |
| 74 |
awesome-ai-apps |
12149 |
1552 |
Python |
39 |
A collection of projects showcasing RAG, agents, workflows, and other AI use cases |
2026-05-09T06:54:45Z |
| 75 |
langchain4j |
11976 |
2213 |
Java |
581 |
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot. |
2026-05-13T02:07:30Z |
| 76 |
note-gen |
11833 |
893 |
TypeScript |
114 |
A cross-platform Markdown AI note-taking software. |
2026-05-11T05:13:50Z |
| 77 |
bisheng |
11364 |
1860 |
TypeScript |
104 |
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more. |
2026-05-13T03:38:54Z |
| 78 |
claude-context |
10999 |
821 |
TypeScript |
65 |
Code search MCP for Claude Code. Make entire codebase the context for any coding agent. |
2026-05-06T02:39:26Z |
| 79 |
LEANN |
10988 |
962 |
Python |
39 |
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. |
2026-05-12T00:15:39Z |
| 80 |
orama |
10334 |
387 |
TypeScript |
19 |
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb. |
2026-02-13T20:10:48Z |
| 81 |
aichat |
9975 |
697 |
Rust |
38 |
All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more. |
2026-02-23T11:16:42Z |
| 82 |
cocoindex |
9686 |
750 |
Python |
39 |
Incremental engine for long horizon agents 🌟 Star if you like it! |
2026-05-12T15:46:23Z |
| 83 |
zvec |
9618 |
549 |
C++ |
32 |
A lightweight, lightning-fast, in-process vector database |
2026-05-13T05:18:54Z |
| 84 |
deeplake |
9120 |
709 |
C++ |
54 |
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training. |
2026-05-12T14:04:33Z |
| 85 |
MemOS |
9053 |
810 |
TypeScript |
112 |
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings |
2026-05-13T04:00:59Z |
| 86 |
crawlee-python |
9035 |
736 |
Python |
72 |
Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Parsel, BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation. |
2026-05-12T13:58:14Z |
| 87 |
voltagent |
8854 |
893 |
TypeScript |
26 |
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework |
2026-05-11T18:05:17Z |
| 88 |
KAG |
8736 |
675 |
Python |
159 |
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model. |
2026-01-28T13:30:54Z |
| 89 |
reor |
8562 |
523 |
JavaScript |
113 |
Private & local AI personal knowledge management app for high entropy people. |
2025-05-13T21:28:59Z |
| 90 |
paper-qa |
8481 |
865 |
Python |
132 |
High accuracy RAG for answering questions from scientific documents with citations |
2026-03-20T17:41:36Z |
| 91 |
kreuzberg |
8295 |
485 |
Rust |
19 |
A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 97+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server. |
2026-05-13T05:41:18Z |
| 92 |
awesome-LLM-resources |
8275 |
852 |
None |
0 |
🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world’s best LLM resources. |
2026-05-12T09:06:26Z |
| 93 |
rag-from-scratch |
8243 |
1995 |
Jupyter Notebook |
24 |
None |
2025-06-26T03:16:10Z |
| 94 |
Upsonic |
7847 |
733 |
Python |
11 |
Build autonomous AI agents in Python. |
2026-05-05T10:34:51Z |
| 95 |
deep-searcher |
7824 |
758 |
Python |
40 |
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python. |
2025-11-19T06:04:16Z |
| 96 |
R2R |
7818 |
626 |
Python |
102 |
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API. |
2025-11-07T01:02:44Z |
| 97 |
Verba |
7694 |
849 |
Python |
54 |
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate |
2026-05-11T19:31:22Z |
| 98 |
PraisonAI |
7476 |
1142 |
Python |
66 |
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs. |
2026-05-13T06:04:04Z |
| 99 |
all-in-rag |
7342 |
3619 |
Python |
11 |
🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/ |
2026-05-11T06:09:45Z |
| 100 |
codefather |
7337 |
1273 |
TypeScript |
19 |
程序员鱼皮的编程宝典 ⭐️ 2026年最全编程学习路线图！包含Java学习路线、前端学习路线、Python学习路线、C++学习路线、算法学习路线、计算机基础学习路线、AI应用开发学习路线、AI Agent开发学习路线等。提供编程入门教程、AI大模型应用开发教程、RAG开发实战、MCP开发教程、Prompt工程指南、LLM应用开发、技术知识分享、学习资源推荐、项目实战教程、热门面试题、求职经验、简历优化、编程自学指南等内容，适用于所有零基础学编程、学习AI开发、转行程序员、计算机专业学生、求职找工作的同学 💎 编程学习，就来编程导航！ |
2026-04-27T14:27:53Z |