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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
Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
[USENIX Security 2025] PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
WARC + AI - Experimental Retrieval Augmented Generation Pipeline for Web Archive Collections.
Youtu-RAG: Next-Generation Agentic Intelligent Retrieval-Augmented Generation System
A curated list of retrieval-augmented generation (RAG) in large language models
an intro to retrieval augmented large language model
Corrective Retrieval Augmented Generation
An NVIDIA AI Workbench example project for Retrieval Augmented Generation (RAG)
Swift-based vector database for on-device RAG using MLTensor and MLX Embedders
Adding powerful semantic search, generative answers, and other AI tools to Obsidian, using Supabase + OpenAI.
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
qKnow is an open-source agent platform for enterprise knowledge intelligence and industry AI. It provides knowledge graphs, RAG, and bot building, encapsulating industry AI into standardized modules for rapid deployment. Supporting unified integration of documents and data, it helps enterprises quickly build knowledge hubs and AI solutions.
CTI-RAG is a Retrieval-Augmented Generation (RAG) framework for Cyber Threat Intelligence (CTI), integrating knowledge graph and causal reasoning capabilities to provide security analysts with an intelligent threat intelligence analysis tool.
AI-powered legal compliance assistant for alcohol beverage pricing laws — extracts, analyzes, and explains New York state-level regulationsusing RAG + knowledge-graph reasoning.
The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.
Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).
GraphGen4Code: a toolkit for creating code knowledge graphs based on WALA code analysis and extraction of documentation and forum content.
ASER (Activities, States, Events, and their Relations): a large-scale weighted eventuality knowledge graph.
(AAAI 2026) Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval
This project accepts excel files as input which contains the description of a Knowledge Graph (Vertexes and Edges) and convert it into an in-memory Graph Store. This project implements APIs to search/filter/get nodes and relations from the in-memory Knowledge Graph. This project also provides a dialog management framework and enable a chatbot based on its knowledge graph.
Docs2KG: A Human-LLM Collaborative Approach to Unified Knowledge Graph Construction from Heterogeneous Documents
[WWWJ 2024] LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
24,523 repositories in the index in total.
