| 1 |
dify |
157467 |
24816 |
TypeScript |
410 |
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack. |
2026-09-29T09:34:24Z |
| 2 |
open-webui |
153500 |
22449 |
Python |
243 |
User-friendly AI Interface (Supports Ollama, OpenAI API, …) |
2026-09-28T03:59:54Z |
| 3 |
langchain |
147238 |
24649 |
Python |
484 |
The agent engineering platform. |
2026-09-29T08:33:48Z |
| 4 |
awesome-llm-apps |
140143 |
20578 |
Python |
8 |
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source. |
2026-09-29T04:56:53Z |
| 5 |
graphify |
122247 |
11778 |
Python |
701 |
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store. |
2026-09-28T08:28:51Z |
| 6 |
claude-mem |
94885 |
8395 |
TypeScript |
75 |
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 |
2026-09-28T22:37:31Z |
| 7 |
ragflow |
91470 |
10859 |
Go |
1161 |
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 |
2026-09-29T09:43:04Z |
| 8 |
PaddleOCR |
90393 |
11425 |
Python |
174 |
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. |
2026-09-16T03:31:50Z |
| 9 |
crawl4ai |
84458 |
8736 |
Python |
41 |
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key. |
2026-09-25T06:37:14Z |
| 10 |
hello-agents |
81246 |
10098 |
Python |
77 |
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程 |
2026-09-26T08:03:12Z |
| 11 |
Prompt-Engineering-Guide |
78706 |
8650 |
MDX |
183 |
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. |
2026-03-11T20:09:13Z |
| 12 |
headroom |
74054 |
5721 |
Python |
234 |
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server. |
2026-09-29T05:55:43Z |
| 13 |
ruflo |
73468 |
8725 |
TypeScript |
674 |
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated |
2026-09-29T06:35:54Z |
| 14 |
anything-llm |
66581 |
7422 |
JavaScript |
300 |
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience |
2026-09-28T22:05:18Z |
| 15 |
mem0 |
66285 |
7802 |
Python |
342 |
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production. |
2026-09-25T17:36:35Z |
| 16 |
pathway |
62220 |
1682 |
Python |
29 |
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. |
2026-09-28T13:35:37Z |
| 17 |
llm-app |
58873 |
1501 |
Jupyter Notebook |
5 |
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. |
2026-07-05T17:59:07Z |
| 18 |
private-gpt |
57548 |
7620 |
Python |
2 |
Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server. |
2026-09-22T11:32:31Z |
| 19 |
Flowise |
55489 |
25052 |
TypeScript |
699 |
Build AI Agents, Visually |
2026-08-13T12:38:19Z |
| 20 |
llama_index |
52347 |
8244 |
Python |
248 |
LlamaIndex is the document processing platform for AI |
2026-09-29T04:49:06Z |
| 21 |
ai-agent-book |
51671 |
5814 |
Python |
9 |
《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码 |
2026-09-29T03:02:25Z |
| 22 |
JeecgBoot |
48023 |
16195 |
Java |
30 |
【低代码v2.0，一句话即可生成整个系统】企业级AI低代码平台，一键生成前后端代码甚至整个系统。 AI Skills 一句话画流程、设计表单、生成报表、大屏。内置 AI应用平台涵盖：AI聊天、知识库、流程编排、MCP插件等，兼容主流大模型。引领AI低代码「Skills 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式，解决 Java 项目 90% 重复工作，提高效率又不失灵活。 |
2026-09-22T14:26:15Z |
| 23 |
milvus |
46281 |
4276 |
Go |
1041 |
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search |
2026-09-29T08:37:37Z |
| 24 |
langgraph |
42451 |
7190 |
Python |
589 |
Build resilient agents. |
2026-09-29T00:01:03Z |
| 25 |
DeepTutor |
40483 |
5109 |
Python |
105 |
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/. |
2026-09-27T05:34:30Z |
| 26 |
LightRAG |
39916 |
5637 |
Python |
201 |
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation |
2026-09-28T11:19:55Z |
| 27 |
quivr |
39562 |
3735 |
Python |
9 |
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. |
2026-08-31T18:02:45Z |
| 28 |
OpenViking |
38943 |
3047 |
Python |
210 |
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills. |
2026-09-29T09:31:18Z |
| 29 |
Langchain-Chatchat |
38665 |
6261 |
Python |
12 |
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 |
| 30 |
ai-engineering-hub |
38082 |
6255 |
Jupyter Notebook |
23 |
In-depth tutorials on LLMs, RAGs and real-world AI agent applications. |
2026-09-10T21:32:11Z |
| 31 |
khoj |
37532 |
2497 |
Python |
106 |
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. |
2026-08-02T01:55:40Z |
| 32 |
Vane |
36934 |
4101 |
TypeScript |
235 |
Vane is an AI-powered answering engine. |
2026-09-01T14:12:12Z |
| 33 |
PageIndex |
36660 |
3215 |
Python |
36 |
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG |
2026-09-28T14:01:31Z |
| 34 |
graphrag |
36155 |
3814 |
Python |
12 |
A modular graph-based Retrieval-Augmented Generation (RAG) system |
2026-09-28T07:34:36Z |
| 35 |
happy-llm |
34113 |
3216 |
Jupyter Notebook |
55 |
📚 从零开始构建大模型 |
2026-08-08T17:18:48Z |
| 36 |
book-to-skill |
32977 |
3442 |
Python |
10 |
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work. |
2026-09-28T21:28:53Z |
| 37 |
onyx |
32282 |
4513 |
Python |
153 |
Open Source AI Platform - AI Chat with advanced features that works with every LLM |
2026-09-29T05:05:05Z |
| 38 |
Scrapegraph-ai |
31413 |
3173 |
Python |
8 |
Python scraper based on AI |
2026-09-25T14:26:28Z |
| 39 |
graphiti |
31296 |
3203 |
Python |
235 |
Build Real-Time Knowledge Graphs for AI Agents |
2026-09-28T23:15:30Z |
| 40 |
WeKnora |
31131 |
4158 |
Go |
326 |
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki. |
2026-09-29T09:19:26Z |
| 41 |
FastGPT |
29768 |
7322 |
TypeScript |
153 |
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. |
2026-09-29T09:20:12Z |
| 42 |
sim |
29750 |
3847 |
TypeScript |
124 |
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders. |
2026-09-29T08:15:59Z |
| 43 |
RAG_Techniques |
29625 |
3625 |
Jupyter Notebook |
1 |
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial. |
2026-09-21T10:54:13Z |
| 44 |
opendataloader-pdf |
29399 |
2800 |
Java |
67 |
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source. |
2026-09-28T05:25:12Z |
| 45 |
haystack |
26630 |
3203 |
Python |
93 |
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. |
2026-09-29T09:41:50Z |
| 46 |
12-factor-agents |
26443 |
1981 |
TypeScript |
15 |
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 |
| 47 |
crawlee |
25935 |
1683 |
TypeScript |
95 |
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. |
2026-09-29T09:17:36Z |
| 48 |
kotaemon |
25784 |
2156 |
Python |
218 |
An open-source RAG-based tool for chatting with your documents. |
2026-07-14T16:53:59Z |
| 49 |
awesome-n8n-templates |
25645 |
6481 |
None |
2 |
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. |
2026-09-12T13:00:32Z |
| 50 |
promptfoo |
25551 |
2394 |
TypeScript |
128 |
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic. |
2026-09-29T09:12:29Z |
| 51 |
GenAI_Agents |
24410 |
4118 |
Jupyter Notebook |
3 |
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems. |
2026-09-28T15:10:23Z |
| 52 |
CV |
23847 |
2657 |
Jupyter Notebook |
22 |
✅（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】 |
2026-09-20T00:41:31Z |
| 53 |
pandas-ai |
23811 |
2333 |
Python |
6 |
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG. |
2025-10-28T10:02:13Z |
| 54 |
vanna |
23809 |
2523 |
Python |
227 |
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄. |
2026-02-02T14:14:20Z |
| 55 |
RAG-Anything |
23452 |
2730 |
Python |
98 |
“RAG-Anything: All-in-One RAG Framework” |
2026-09-15T02:37:26Z |
| 56 |
MaxKB |
22890 |
3164 |
Python |
18 |
🔥 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。 |
2026-09-29T09:39:45Z |
| 57 |
opik |
22284 |
1829 |
Python |
112 |
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. |
2026-09-29T09:35:44Z |
| 58 |
coze-studio |
21654 |
3122 |
TypeScript |
498 |
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. |
2026-07-29T03:18:43Z |
| 59 |
agents-towards-production |
21510 |
2853 |
Jupyter Notebook |
0 |
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment. |
2026-09-21T10:54:17Z |
| 60 |
ai-guide |
20582 |
2286 |
JavaScript |
0 |
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 / GLM）、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 aiguide，已升级为鱼皮 AI 导航网站 |
2026-09-28T03:09:27Z |
| 61 |
llm_wiki |
20073 |
2267 |
TypeScript |
169 |
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。 |
2026-09-28T01:43:23Z |
| 62 |
DB-GPT |
20066 |
2945 |
Python |
374 |
open-source agentic AI data assistant for the next generation of AI + Data products. |
2026-09-29T08:39:22Z |
| 63 |
eliza |
19515 |
5772 |
TypeScript |
23 |
Open source agentic operating system |
2026-09-29T01:17:22Z |
| 64 |
llama-cookbook |
18557 |
2756 |
Jupyter Notebook |
22 |
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 |
2026-05-19T18:42:31Z |
| 65 |
DocsGPT |
18295 |
2162 |
Python |
26 |
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. |
2026-09-29T08:23:16Z |
| 66 |
LangBot |
17977 |
1615 |
Python |
106 |
Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ 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 / Matrix e.g. Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze, Claude, Gemini, GLM, Ollama, SiliconFlow, Moonshot, openclaw / hermes agent, deerflow |
2026-09-28T20:17:08Z |
| 67 |
WrenAI |
17776 |
2031 |
Python |
214 |
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more. |
2026-09-29T09:04:18Z |
| 68 |
turbovec |
17256 |
1477 |
Rust |
20 |
A vector index built on TurboQuant, written in Rust with Python bindings |
2026-09-13T13:59:46Z |
| 69 |
Qwen-Agent |
17132 |
1737 |
Python |
431 |
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc. |
2026-03-04T08:15:07Z |
| 70 |
Memori |
16997 |
3610 |
Python |
14 |
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises. |
2026-09-18T00:03:15Z |
| 71 |
memvid |
16565 |
1421 |
Rust |
14 |
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. |
2026-07-14T14:39:07Z |
| 72 |
SurfSense |
16291 |
1562 |
Python |
174 |
Air gapped, privacy focused open source NotebookLM alternative. Join our Discord: https://discord.gg/ejRNvftDp9 |
2026-09-29T00:12:38Z |
| 73 |
RagaAI-Catalyst |
16166 |
3566 |
Python |
16 |
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 |
| 74 |
zvec |
16027 |
1006 |
C++ |
32 |
A lightweight, lightning-fast, in-process vector database |
2026-09-29T05:56:15Z |
| 75 |
awesome-ai-apps |
15926 |
1846 |
Python |
52 |
A collection of projects showcasing RAG, agents, workflows, and other AI use cases |
2026-09-18T10:01:26Z |
| 76 |
ragas |
15872 |
1730 |
Python |
379 |
Supercharge Your LLM Application Evaluations 🚀 |
2026-02-24T07:47:19Z |
| 77 |
easy-dataset |
14961 |
1537 |
JavaScript |
118 |
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval |
2026-05-01T15:03:32Z |
| 78 |
llmware |
14827 |
2933 |
Python |
71 |
Unified framework for building enterprise RAG pipelines with small, specialized models |
2026-05-17T13:53:37Z |
| 79 |
llm-universe |
14060 |
1421 |
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/ |
2026-08-27T03:08:26Z |
| 80 |
EverOS |
13271 |
924 |
Python |
46 |
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows. |
2026-09-29T01:35:59Z |
| 81 |
langchain4j |
13172 |
2574 |
Java |
624 |
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. |
2026-09-29T07:44:10Z |
| 82 |
txtai |
12986 |
903 |
Python |
18 |
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows |
2026-09-28T14:46:10Z |
| 83 |
LEANN |
12966 |
1173 |
Python |
37 |
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. |
2026-09-28T15:35:05Z |
| 84 |
note-gen |
12854 |
973 |
TypeScript |
81 |
Capture first. Organize later. A local-first Markdown app that turns scattered records into clear notes with AI. |
2026-09-29T08:22:07Z |
| 85 |
garden-skills |
12680 |
1523 |
CSS |
9 |
ConardLi’s open-source Skills collection, featuring web design, knowledge retrieval, image generation, and more. |
2026-07-12T14:36:31Z |
| 86 |
claude-context |
12574 |
937 |
TypeScript |
80 |
Code search MCP for Claude Code. Make entire codebase the context for any coding agent. |
2026-07-14T12:00:38Z |
| 87 |
bisheng |
12015 |
1974 |
Python |
98 |
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. |
2026-09-29T09:14:03Z |
| 88 |
MemOS |
11633 |
1065 |
TypeScript |
55 |
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support. |
2026-09-29T03:09:34Z |
| 89 |
cocoindex |
11626 |
907 |
Rust |
58 |
Incremental engine for long horizon agents 🌟 Star if you like it! |
2026-09-28T13:19:35Z |
| 90 |
all-in-rag |
11534 |
5696 |
Python |
18 |
🔍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/ |
2026-09-04T08:15:30Z |
| 91 |
voltagent |
10697 |
1146 |
TypeScript |
41 |
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework |
2026-09-28T02:04:53Z |
| 92 |
orama |
10567 |
402 |
TypeScript |
18 |
🌌 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. |
2026-09-28T21:13:45Z |
| 93 |
aichat |
10473 |
747 |
Rust |
50 |
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 |
| 94 |
AgentGuide |
10250 |
974 |
MDX |
2 |
https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成 |
2026-09-15T06:38:22Z |
| 95 |
PixelRAG |
10113 |
866 |
Python |
7 |
https://arxiv.org/abs/2606.28344. The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/ |
2026-09-27T08:41:28Z |
| 96 |
crawlee-python |
9563 |
812 |
Python |
85 |
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. |
2026-09-29T09:24:51Z |
| 97 |
rag-from-scratch |
9397 |
2225 |
Jupyter Notebook |
25 |
None |
2025-06-26T03:16:10Z |
| 98 |
xberg |
9351 |
585 |
Rust |
9 |
Polyglot document intelligence with a Rust core: extract text, metadata, images, tables, and structured data from 106 formats across 140 file extensions, plus code intelligence for 371 languages. Fifteen bindings, with CLI, REST API, and MCP server. |
2026-09-29T06:24:28Z |
| 99 |
paper-qa |
9271 |
925 |
Python |
133 |
High accuracy RAG for answering questions from scientific documents with citations |
2026-09-25T01:12:03Z |
| 100 |
deeplake |
9244 |
725 |
C++ |
50 |
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training. |
2026-05-21T15:28:00Z |