imbajin commented on code in PR #64:
URL:
https://github.com/apache/incubator-hugegraph-ai/pull/64#discussion_r1718296958
##########
hugegraph-llm/src/hugegraph_llm/config/config.py:
##########
@@ -67,7 +67,7 @@ class Config:
"""HugeGraph settings"""
graph_ip: Optional[str] = "127.0.0.1"
graph_port: Optional[int] = 8080
- # graph_space: Optional[str] = "DEFAULT"
+ graph_space: Optional[str] = "DEFAULT"
Review Comment:
```suggestion
graph_space: Optional[str] = None
```
##########
hugegraph-llm/src/hugegraph_llm/demo/rag_web_demo.py:
##########
@@ -302,27 +366,15 @@ def embedding_settings(embedding_type):
]
else:
embedding_config_input = []
+
embedding_config_button = gr.Button("apply configuration")
+
+ # 在这里调用独立的 apply_embedding_configuration 函数
Review Comment:
EN comment
##########
hugegraph-llm/src/hugegraph_llm/demo/rag_web_demo.py:
##########
@@ -433,6 +486,78 @@ def apply_embedding_configuration(arg1, arg2, arg3):
out = gr.Textbox(label="Output", show_copy_button=True)
btn = gr.Button("(BETA) Init HugeGraph test data (🚧WIP)")
btn.click(fn=init_hg_test_data, inputs=inp, outputs=out) # pylint:
disable=no-member
+ return hugegraph_llm
+
+
+def rag_web_http_api():
+ @app.post("/rag")
+ def graph_rag_api(req: RAGRequest):
+ result = graph_rag(req.query, req.raw_llm, req.vector_only,
req.graph_only, req.graph_vector)
+ return {key: value for key, value in zip(
+ ["raw_llm", "vector_only", "graph_only", "graph_vector"], result)
if getattr(req, key)}
Review Comment:
TODO: separate to another api pkg
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