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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>This repository contains the Hugging Face Agents Course. · 30,012 GitHub stars · by huggingface</description>
      <category>AI &amp; ML</category>
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      <title>LEANN</title>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. · 12,678 GitHub stars · by StarTrail-org</description>
      <category>AI &amp; ML</category>
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      <title>phoenix</title>
      <link>https://madewithwhat.net/llamaindex/project/phoenix/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>AI Observability &amp; Evaluation · 10,546 GitHub stars · by Arize-ai</description>
      <category>AI &amp; ML</category>
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      <title>rags</title>
      <link>https://madewithwhat.net/llamaindex/project/rags/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Build ChatGPT over your data, all with natural language · 6,543 GitHub stars · by run-llama</description>
      <category>AI &amp; ML</category>
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      <title>ragapp</title>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>The easiest way to use Agentic RAG in any enterprise · 4,442 GitHub stars · by ragapp</description>
      <category>AI &amp; ML</category>
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      <title>LazyLLM</title>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Easiest and laziest way for building multi-agent LLMs applications. · 3,853 GitHub stars · by LazyAGI</description>
      <category>AI &amp; ML</category>
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      <title>seekdb</title>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable. · 2,823 GitHub stars · by oceanbase</description>
      <category>AI &amp; ML</category>
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      <title>handy-ollama</title>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Ollama，CPU，：https://datawhalechina.github.io/handy-ollama/ · 2,471 GitHub stars · by datawhalechina</description>
      <category>AI &amp; ML</category>
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      <title>llama_deploy</title>
      <link>https://madewithwhat.net/llamaindex/project/llama-deploy/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Deploy your agentic worfklows to production · 2,066 GitHub stars · by run-llama</description>
      <category>AI &amp; ML</category>
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      <title>openinference</title>
      <link>https://madewithwhat.net/llamaindex/project/openinference/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>OpenTelemetry Instrumentation for AI Observability · 1,084 GitHub stars · by Arize-ai</description>
      <category>AI &amp; ML</category>
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      <title>llm-python</title>
      <link>https://madewithwhat.net/llamaindex/project/llm-python/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Large Language Models (LLMs) tutorials &amp; sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb &amp; pinecone · 925 GitHub stars · by onlyphantom</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>deep-learning-wizard</title>
      <link>https://madewithwhat.net/llamaindex/project/deep-learning-wizard/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more. · 875 GitHub stars · by ritchieng</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>ragbook-notebooks</title>
      <link>https://madewithwhat.net/llamaindex/project/ragbook-notebooks/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Repository for the &quot;Building LLMs for Production&quot; book by Towards AI. · 554 GitHub stars · by towardsai</description>
      <category>AI &amp; ML</category>
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      <title>ParseBench</title>
      <link>https://madewithwhat.net/llamaindex/project/parsebench/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>ParseBench - A Document Parsing Benchmark for AI Agents · 524 GitHub stars · by run-llama</description>
      <category>AI &amp; ML</category>
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      <title>restai</title>
      <link>https://madewithwhat.net/llamaindex/project/restai/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generation with dynamic loading generators. Live chat deployment. Built-in block based graphical language. Prompt versioning and much more... · 512 GitHub stars · by apocas</description>
      <category>AI &amp; ML</category>
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      <title>langstream</title>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka. · 428 GitHub stars · by LangStream</description>
      <category>AI &amp; ML</category>
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      <title>mcpadapt</title>
      <link>https://madewithwhat.net/llamaindex/project/mcpadapt/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Unlock 650+ MCP servers tools in your favorite agentic framework. · 422 GitHub stars · by grll</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>PlanExe</title>
      <link>https://madewithwhat.net/llamaindex/project/planexe/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Create a plan from a description in minutes · 388 GitHub stars · by PlanExeOrg</description>
      <category>AI &amp; ML</category>
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      <title>ThinkRAG</title>
      <link>https://madewithwhat.net/llamaindex/project/thinkrag/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>A LLM RAG system runs on your laptop. ，，。 · 347 GitHub stars · by wzdavid</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>palico-ai</title>
      <link>https://madewithwhat.net/llamaindex/project/palico-ai/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Build, Improve Performance, and Productionize your AI Application · 342 GitHub stars · by palico-ai</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>ai-playground</title>
      <link>https://madewithwhat.net/llamaindex/project/ai-playground/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Code from tutorials presented on the &quot;Code AI with Rok&quot; YouTube channel · 322 GitHub stars · by rokbenko</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>local_llama</title>
      <link>https://madewithwhat.net/llamaindex/project/local-llama/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>This repo is to showcase how you can run a model locally and offline, free of OpenAI dependencies. · 297 GitHub stars · by jlonge4</description>
      <category>AI &amp; ML</category>
    </item>
    <item>
      <title>sample-agentic-frameworks-on-aws</title>
      <link>https://madewithwhat.net/llamaindex/project/sample-agentic-frameworks-on-aws/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks. · 261 GitHub stars · by aws-samples</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>ai-tutor-rag-system</title>
      <link>https://madewithwhat.net/llamaindex/project/ai-tutor-rag-system/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>This is a repository for the course &quot;From Beginner to LLM Developer&quot; by Towards AI. · 238 GitHub stars · by towardsai</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>corpusos</title>
      <link>https://madewithwhat.net/llamaindex/project/corpusos/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Open-source protocol suite standardizing LLM, Vector, Graph, and Embedding infrastructure across LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP. 3,330+ conformance tests. One protocol. Any framework. Any provider. · 223 GitHub stars · by Corpus-OS</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>llm</title>
      <link>https://madewithwhat.net/llamaindex/project/llm/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>LLM AI · 198 GitHub stars · by onlybooks</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>watch-skill</title>
      <link>https://madewithwhat.net/llamaindex/project/watch-skill/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Video understanding and self-verification for AI agents. Turn videos, streams, and agent screen recordings into searchable, timestamped evidence—then use THE LOOP to inspect, fix, and verify the work. MCP, CLI, REST, local-first. · 191 GitHub stars · by oxbshw</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>mcp-toolbox-sdk-python</title>
      <link>https://madewithwhat.net/llamaindex/project/mcp-toolbox-sdk-python/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Python SDK for interacting with the MCP Toolbox for Databases. · 191 GitHub stars · by googleapis</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>RAG-SaaS</title>
      <link>https://madewithwhat.net/llamaindex/project/rag-saas/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Ship RAG Solutions Quickly and effortlessly · 188 GitHub stars · by adithya-s-k</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>oxidizePdf</title>
      <link>https://madewithwhat.net/llamaindex/project/oxidizepdf/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Pure Rust PDF library for AI/RAG: structure-aware chunking, no ML, no C deps. · 182 GitHub stars · by bzsanti</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>cnllm</title>
      <link>https://madewithwhat.net/llamaindex/project/cnllm/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Python toolkit for Chinese LLMs, with flexible batch capacity, structured real-time visulization and automated accumulation for streaming, and explicit feedback on vendor-native parameter validation. · 173 GitHub stars · by kanchengw</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>flexible-graphrag</title>
      <link>https://madewithwhat.net/llamaindex/project/flexible-graphrag/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Python, LlamaIndex, LangChain, Docker Compose: 15 Property Graph, 4 RDF, 10 Vector, OpenSearch, Elasticsearch, Alfresco DBs. 13 data sources (9 auto-sync), KG auto-building, Ontologies, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, FastAPI REST backend, MCP Server. · 164 GitHub stars · by stevereiner</description>
      <category>AI &amp; ML</category>
    </item>
    <item>
      <title>PapersChat</title>
      <link>https://madewithwhat.net/llamaindex/project/paperschat/</link>
      <guid isPermaLink="true">https://madewithwhat.net/llamaindex/project/paperschat/</guid>
      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>An agentic AI application that allows you to chat with your papers and gather also information from papers on ArXiv and on PubMed · 154 GitHub stars · by AstraBert</description>
      <category>AI &amp; ML</category>
    </item>
    <item>
      <title>llamaindex-omakase-rag</title>
      <link>https://madewithwhat.net/llamaindex/project/llamaindex-omakase-rag/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>This project enhances the construction of RAG applications by addressing challenges, improving accessibility, scalability, and managing data and user access. It uses Django, Llamaindex, and Google Drive for effective database management. · 146 GitHub stars · by ammirsm</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>LLM_Notebooks</title>
      <link>https://madewithwhat.net/llamaindex/project/llm-notebooks/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP, CV and Graph databases · 141 GitHub stars · by olonok69</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>docmind-ai-llm</title>
      <link>https://madewithwhat.net/llamaindex/project/docmind-ai-llm/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>DocMind AI is a powerful, open-source Streamlit application leveraging LlamaIndex, LangGraph, and local Large Language Models (LLMs) via Ollama, LMStudio, llama.cpp, or vLLM for advanced document analysis. Analyze, summarize, and extract insights from a wide array of file formats, securely and privately, all offline. · 137 GitHub stars · by BjornMelin</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>ragrabbit</title>
      <link>https://madewithwhat.net/llamaindex/project/ragrabbit/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Open Source, Self-Hosted, AI Search and LLM.txt for your website · 135 GitHub stars · by madarco</description>
      <category>AI &amp; ML</category>
    </item>
    <item>
      <title>LlamaIndex-RAG-WSL-CUDA</title>
      <link>https://madewithwhat.net/llamaindex/project/llamaindex-rag-wsl-cuda/</link>
      <guid isPermaLink="true">https://madewithwhat.net/llamaindex/project/llamaindex-rag-wsl-cuda/</guid>
      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B · 132 GitHub stars · by marklysze</description>
      <category>AI &amp; ML</category>
    </item>
    <item>
      <title>local-rag-llamaindex</title>
      <link>https://madewithwhat.net/llamaindex/project/local-rag-llamaindex/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Local llamaindex RAG to assist researchers quickly navigate research papers · 131 GitHub stars · by Otman404</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>vector-cookbook</title>
      <link>https://madewithwhat.net/llamaindex/project/vector-cookbook/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector. · 127 GitHub stars · by timescale</description>
      <category>AI &amp; ML</category>
    </item>
    <item>
      <title>novice-ChatGPT</title>
      <link>https://madewithwhat.net/llamaindex/project/novice-chatgpt/</link>
      <guid isPermaLink="true">https://madewithwhat.net/llamaindex/project/novice-chatgpt/</guid>
      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>ChatGPT API Usage using LangChain, LlamaIndex, Guardrails, AutoGPT and more · 126 GitHub stars · by aiplaybookin</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>towards-agi</title>
      <link>https://madewithwhat.net/llamaindex/project/towards-agi/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>A collection of personally developed projects contributing towards the advancement of Artificial General Intelligence(AGI) · 124 GitHub stars · by sauravjoshi23</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>XRAG</title>
      <link>https://madewithwhat.net/llamaindex/project/xrag/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation · 117 GitHub stars · by DocAILab</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>Flamehaven-Filesearch</title>
      <link>https://madewithwhat.net/llamaindex/project/flamehaven-filesearch/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Self-hosted RAG search engine — 34 formats, BM25+hybrid search, multi-LLM (Gemini/OpenAI/Claude/Ollama), FastAPI + Docker, production-ready in 3 min · 106 GitHub stars · by flamehaven01</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>text2cypher_llama_agent</title>
      <link>https://madewithwhat.net/llamaindex/project/text2cypher-llama-agent/</link>
      <guid isPermaLink="true">https://madewithwhat.net/llamaindex/project/text2cypher-llama-agent/</guid>
      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>A collection of LlamaIndex Workflows-powered agents that convert natural language to Cypher queries designed to retrieve information from a Neo4j database to answer the question with included benchmark data. · 103 GitHub stars · by tomasonjo-labs</description>
      <category>AI &amp; ML</category>
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    <item>
      <title>kyros-ai</title>
      <link>https://madewithwhat.net/llamaindex/project/kyros-ai/</link>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types (episodic, semantic, procedural) with built-in forgetting curves, cryptographic integrity, and automatic contradiction resolution. Model-agnostic REST API with Python and TypeScript SDKs. · 101 GitHub stars · by Kyros-494</description>
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      <title>ingest-anything</title>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>From data to vector database effortlessly · 93 GitHub stars · by AstraBert</description>
      <category>DevTools</category>
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      <title>llm-course-zh</title>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>(LLM)code，github、、code，pythonLLM、 · 88 GitHub stars · by PipiHi0926</description>
      <category>AI &amp; ML</category>
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      <title>mcp-server-llamacloud</title>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>A MCP server connecting to managed indexes on LlamaCloud · 87 GitHub stars · by run-llama</description>
      <category>DevTools</category>
    </item>
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      <title>RAG-based-job-search-assistant</title>
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      <pubDate>Wed, 15 Jul 2026 22:28:33 GMT</pubDate>
      <description>linkedin-jobs-RAG · 87 GitHub stars · by kyosek</description>
      <category>AI &amp; ML</category>
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