1.1KGitHub
OPENAGENTSKILL / DIRECTORY
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Results · “dense-retrieval”
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Results: 112
Beir
beir-cellar
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
DataReview before use
2.2KGitHub
RAG From Scratch
pguso
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
ResearchReview before use
1.5KGitHub
RAG Cookbooks
athina-ai
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
2.6KGitHub
Youtu Graphrag
TencentCloudADP
[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
ResearchReview before use
1.2KGitHub
Raglite
superlinear-ai
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
ResearchReview before use
1.2KGitHub
AgenticRAG Survey
asinghcsu
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
DataReview before use
1.7KGitHub
Scope Recall Hermes
410979729
Hermes Agent memory plugin/provider for scope-aware recall, SQLite truth, LanceDB semantic search, and hybrid retrieval.
DataReview before use
205GitHub
Awesome AI Memory
IAAR-Shanghai
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system des…
ResearchReview before use
978GitHub
851GitHub
Local RAG
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.
ResearchReview before use
746GitHub
RAG
NVIDIA-AI-Blueprints
This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.
ResearchReview before use
659GitHub
HiRAG
hhy-huang
[EMNLP'25 findings] This is the official repo for the paper, HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge.
ResearchReview before use
547GitHub
80KGitHub
deepxiv
wanshuiyin
Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepX…
ResearchClaude Code
15.7KGitHub
comm-lit-review
wanshuiyin
Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN,…
ResearchClaude Code
15.6KGitHub
External platform skills
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