Navigate Select ESC Close

Graph RAG Evolved: PathRAG (Relational Reasoning Paths)

2025-02-26 Science & Technology
31.7k
1.0k
41
Discover AI
Discover AI
90.5k subscribers

Unlock all features

FREE: Get instant access to 10 AI summaries, chats, or transcripts per day.

Description

The latest tech dev of RAG. Overcoming the limitations of vector RAG, GraphRAG showed significant improvements and LightRAG implemented an Index Graph (Knowledge Graph) to further improve the overall performance. The latest stage of RAG dev is now PathRAG, dev by Beijing University. A detailed explanation of the Graph RAG models with detailed explanation of the inner workings of PathRAG - with their code implementation (GitHub). All rights w/ authors: "PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths" Boyu Chen1, Zirui Guo1,2, Zidan Yang1,3, Yuluo Chen1, Junze Chen1, Zhenghao Liu3, Chuan Shi1, Cheng Yang1 1 Beijing University of Posts and Telecommunications 2 University of Hong Kong, 3 Northeastern University #reasoning #airesearch #graph #knowledgegraphs #aiagents

Top Comments (10)

@MrRavaging 2025-02-26

I swear, I just came up with the idea I call "consideration nodes" using topological optimization to allow the model to construct its own reasoning chains integrated with the knowledge graph. Sounds a lot like PathRAG.

23 8 replies
@deltavthrust 2025-02-26

As usual your tutorials are the best. Thank you.

7 1 replies
@davethomson6166 2025-03-18

Fascinating to see the evolution of techniques. There was something missing from the video - given the researchers warning of hallucinations and limitations of RAG for the medical field, do we see lightRAG or PathRAG techniques as overcoming those challenges?

6
@abarth0800 2025-07-13

Fantasticaly explained, thank you!

0
@kyunglee1924 2025-08-28

could lightrag result be filtered to remove results produce the same results ?

0
@fredkzk 2025-03-18

Would this method work on a 10M tokens codebase whose repo tree map details inter-dependencies?

0
@thomasb40 2025-03-06

I really enjoyed following your tutorial, thanks a lot !

0
@demigodess 2025-08-20

interesting video. med rag - are they using a sophisticated rag setup? how modern is their tech stack? feels rather silly without elaborating at length about their implementation

0
@andrew.derevo 2025-02-26

Great stuff! benchmarks look very good

0
@brandonmagana249 2025-05-25

How do you create your graph for PathRAG to work? Do you use the traditional pathRAG approach?

0

Unlock the Data Inside
Turn Videos into Knowledge

  • Get FREE 10/day: transcripts, summaries, chats
  • Chat with videos, export text & PDF
  • $1 free API credit for RAG, chatbots & research

Free forever plan • All features unlocked

App screenshot