Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Retrieval-augmented generation, document Q&A, knowledge graphs and memory systems.
Signals: rag, retrieval-augmented-generation, llamaindex, knowledge-graph, question-answering, chat-with-documents, graphrag, memory
503 results
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
Claude Code plugin that compiles markdown knowledge files into a topic-based wiki. Implements Karpathy's LLM Knowledge Base pattern.
Karpathy-style LLM knowledge base for Obsidian. Clone, run Claude Code, start building your second brain.
No description
在本项目中模拟健康档案私有知识库构建和检索全流程，通过一份代码实现了同时支持多种大模型（如OpenAI、阿里通义千问等）的RAG（检索增强生成）功能:(1)离线步骤:文档加载->文档切分->向量化->灌入向量数据库；在线步骤:获取用户问题->用户问题向量化->检索向量数据库->将检索结果和用户问题填入prompt模版->用最终的prompt调用LLM->由LLM生成回复
Supabase Auth + AI Stack for Next.js 16 with SSR and React Server Components (RSC), Welcome to a production-ready template combining Supabase SSR authentication with AI capabilities: document chat (RAG), web search, and multiple LLM support. Features include secure file storage, vector search (pgvector), and persistent chat history.
Personalized paper recommendation for OpenClaw / Feishu, powered by AMiner + arXiv + LLMs.
OpenCE (Open Context Engineering): A community toolkit to implement, evaluate, and combine LLM context strategies (RAG, ACE, Compression). Evolved from the `ACE-open` reproduction.
Private, local RAGs. Supercharge LLMs with your own knowledge base.
Attribute (or cite) statements generated by LLMs back to in-context information.
Chat with your current directory's files using a local or API LLM.
🤖👾🐶 下一代 Agentic 桌宠 = LLM + 记忆 + 情感 + RPG + Claude Code Next Gen Agentic Desktop Pet = LLM + Memory + Emotion + RPG + Claude Code
The Open Deep Research app – generate reports with OSS LLMs
Search docs.voxel51.com with an LLM!
LLM search engine faster than perplexity!
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一个轻量级的 API 增强服务，为各大模型 API 添加实时联网搜索能力，让 AI 回答更加准确、及时。
參考自Andrej Kapathy的llm-wiki概念，把原始素材、LLM 編譯後的知識、 探索中的思考，以及最終作品明確分層管理 的個人知識庫系統。
Easiest way to give context to LLMs; Attachments has the ambition to be the general funnel for any files to be transformed into images+text for large language models context by only adding 2 lines to your python code.
The official implementation of the ICML 2024 paper "MemoryLLM: Towards Self-Updatable Large Language Models" and "M+: Extending MemoryLLM with Scalable Long-Term Memory"
Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.
Local Powerpointer - A beautiful powerpoint generator which uses the power of local running large language models to generate the powerpoint slides.
This repo contains data and code for the paper "Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes"
Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB (VLDB Demo 2025)
24,523 repositories in the index in total.
