💡 RAG + Knowledge Graph (KG) Integration

[KaifAhmad1]

Proposal:

Add support for combining Knowledge Graphs (e.g. Neo4j, Graphiti) with RAG to improve retrieval, reasoning, and explainability.

Why:

Enables structured, multi-hop retrieval

Enhances factual accuracy and grounding

Boosts LLM performance with semantic context

Looking for:

Tools, best practices, or prior work on hybrid RAG + KG setups.
Open to collaboration!

https://github.com/getzep/graphiti
https://www.getzep.com/product/open-source/
https://neo4j.com/

[monali7-d]

Hi @KaifAhmad1, Thank you for raising this. I have added this to our community wishlist for the the team to review. In the meantime, feel free to raise a PR - Happy to support you!

[onestardao]

interesting ~ hybrid RAG + KG is super tempting, but once you start mixing multi-hop graph traversal with semantic retrieval, you’ll hit a bunch of invisible edge cases.

one big one is when your KG node expansion starts polluting the retrieval context with over-connected subgraphs, which quietly derails the grounding you were trying to enhance in the first place.

we’ve been cataloging these “silent collapses” in our own work, especially in setups where RAG logic and KG reasoning fight for attention weights.

if you want, I can share our problem map for this class of failures — it covers the exact scenarios you’re aiming for, and how to keep them stable without nerfing performance.

[0xasim]

interesting ~ hybrid RAG + KG is super tempting, but once you start mixing multi-hop graph traversal with semantic retrieval, you’ll hit a bunch of invisible edge cases.

one big one is when your KG node expansion starts polluting the retrieval context with over-connected subgraphs, which quietly derails the grounding you were trying to enhance in the first place.

we’ve been cataloging these “silent collapses” in our own work, especially in setups where RAG logic and KG reasoning fight for attention weights.

if you want, I can share our problem map for this class of failures — it covers the exact scenarios you’re aiming for, and how to keep them stable without nerfing performance.

Hey @onestardao We're implementing something similar so i would love to be able to see the problems you guys faced with hybrid RAG + Knowledge Graph and how you guys solved them

[onestardao]

thanks for sharing, we ran into the same with hybrid RAG + KG. the tricky part is that once KG expansions start over-connecting, you get silent retrieval drift.

what worked for us was cataloging these as recurring failure modes, so we could patch them without nerfing performance. you might find this useful:
👉 WFGY Problem Map

tip: watch for

node over-expansion → pollutes retrieval context

attention weight fight between RAG retriever and KG logic

silent collapse (answers look fine but grounding is gone)

mapping them out helped us keep hybrid setups stable.