Context Awesome

awesome-graphrag

github.com/deep-polyu/awesome-graphrag ↗

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.

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GitHub Stars

132

Curated Resources

3

Categories

4 hours ago

Last Refreshed

Knowledge OrganizationKnowledge RetrievalKnowledge Integration

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me in-context learning resources from awesome-graphrag"

Installation instructions →

What's inside

Knowledge Integration

Awesome-Graph-LLMIn-context Learning
Awesome-Graph-PromptIn-context Learning
Awesome-LLMs-in-Graph-tasksIn-context Learning
[Paper]In-context Learning
[Paper]In-context Learning
[Paper]In-context Learning

Resources

Knowledge Organization

PaperGraphs as Knowledge Carrier
[Paper]Graphs for Knowledge Indexing
[Paper]Graphs for Knowledge Indexing
[Paper]Graphs for Knowledge Indexing
[Paper]Graphs for Knowledge Indexing
[Paper]Graphs for Knowledge Indexing

Knowledge Retrieval

[Paper]GNN-based Retriever
[Paper]Semantics Similarity-based Retriever
[Paper]Semantics Similarity-based Retriever
[Paper]Logical Reasoning-based Retriever
[Paper]Logical Reasoning-based Retriever
[Paper]LLM-based Retriever

Showing a sample of 132 resources. View the full list on GitHub →