retrieval-augmented-generation

On-device memory layer for AI agents. Claude Code, Hermes and OpenClaw. Hooks + MCP server + hybrid RAG search.

MongoDB Knowledge Service. Powered by MongoDB and Atlas Vector Search.

The creative suite for character-driven AI experiences.

:zap: Cloud-native, AI-powered, document processing pipelines on AWS.

[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

Optimize Document Retrieval with Fine-Tuned KnowledgeBases

A collection of the the best ML and AI news every week (research, news, resources)

Generate vector embeddings in NodeJS

A breakdown of knowledge graph RAG with diagrams and examples

This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.

See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.

Open-source toolkit for reliable RAG pipelines: convert PDFs to Markdown, clean documents, inspect chunks, compare chunking strategies, and enrich metadata for LLM applications.

Awesome music generation model——MG²

VectorRAG.Net is a .NET-native high-performance vector database library for semantic search and RAG (Retrieval-Augmented Generation). Core search is based on Random Hyperplane LSH candidate generation with exact rerank by dot/cosine.

(ACL 2025 Main) A Comprehensive Benchmark for Code Information Retrieval.

[EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.

🧠 LLM-Driven Intelligent Memory & Context Management System （AI记忆管理与智能上下文感知平台） AI记忆管理平台 | 智能上下文感知 | RAG检索增强生成 | 向量检索引擎

[EMNLP 2024] OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.

[CVPR 2024 Oral] Official repository for RALF: Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation