Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
This could be easier to integrate graphrag into dify.
RAG2.0 may look like this:
User Query → Agent → GraphRAG
├→ Vector DB (Milvus) - Retrieves similar passages
└→ Knowledge Graph - Retrieves related entities/relationships
└→ Combines results → Returns to Agent → Response to User
This issue is not a duplicate, since this actually proposed a potential solution.
2. Additional context or comments
No response
3. Can you help us with this feature?
[ ] I am interested in contributing to this feature.
Self Checks
1. Is this request related to a challenge you're experiencing? Tell me about your story.
graphrag-server is openai-compatible and supports docker.
https://github.com/KylinMountain/graphrag-server
This could be easier to integrate graphrag into dify.
RAG2.0 may look like this:
This issue is not a duplicate, since this actually proposed a potential solution.
2. Additional context or comments
No response
3. Can you help us with this feature?