RAG Retrieval
NovaSearch-Team
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
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Results: 23
NovaSearch-Team
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
rom1504
Easily compute clip embeddings and build a clip retrieval system with them
microsoft
A modular graph-based Retrieval-Augmented Generation (RAG) system
FlagOpen
OpenSPG
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for prof…
SciPhi-AI
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
DEEP-PolyU
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
rag-web-ui
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
raphaelmansuy
EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation
TencentCloudADP
[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
lightonai
Late Interaction Models Training & Retrieval
jonfairbanks
Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
NVIDIA-AI-Blueprints
This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.
hhy-huang
[EMNLP'25 findings] This is the official repo for the paper, HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge.
DEEP-PolyU
[ICLR 2026] LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
VectorInstitute
A framework for fine-tuning retrieval-augmented generation (RAG) systems.