feat: add GraphRAG framework and integrate TuGraph

[fanzhidongyzby]

Issue: #1505

[Aries-ckt]

hi, @fanzhidongyzby ,Graph RAG is an amazing feature, could you give some use cases?

[fanzhidongyzby]

hi, @fanzhidongyzby ,Graph RAG is an amazing feature, could you give some use cases?

@Aries-ckt
Subsequent documentation sections illustrate the use and workflow of Graph RAG with examples.

[fanzhidongyzby]

Here are tests for Graph RAG framework:

• [Triplet/Keyword Extractor Test]: tests/intetration_tests/transformer/test_extactor.py
• [MemoryGraph Test]: tests/unit_tests/graph/test_graph.py
• [MemoryGraphStore Test]: tests/intetration_tests/graph_store/test_memgraph_store.py
• [TuGraphStore Test]: tests/intetration_tests/graph_store/test_tugraph_store.py
• [Graph RAG Example]: examples/rag/graph_rag_example.py

[csunny]

Exciting advancement! Our imagination soars with expanded capabilities, encompassing databases, graphs, diverse data types, AI-native agent apps —unleashing the potential of structured, unstructured data, and beyond.

Very cool!

[csunny]

r+

[KingSkyLi]

In this PR, we have implemented the ability to use the TuGraph database for retrieval-augmented generation (RAG). This feature is currently integrated into the Chat Knowledge module. TuGraph is supported from Version 4.3.0 and above.

When creating a knowledge base, users can choose between the following two storage types:

Knowledge Graph
Vector Store
Different storage types will have corresponding icons displayed in the frontend.

If the user chooses to create a knowledge base of the Knowledge Graph type and successfully creates it, they can click the "View Graph" button to view the graph of the current knowledge base.

Additionally, users can obtain relevant knowledge content through the Chat Knowledge conversation feature.

1. Create Knowledge
   

2. Knowledge Graph and Open Graph Visual
   

3. Graph Visual Page
   

4. Chat Knowledge By Graph
   

[Aries-ckt]

LGTM.

[csunny]

LGTM～