Bases: BaseLlamaPack
Weaviate Sub-Question query engine pack.
Source code in llama_index\packs\sub_question_weaviate\base.py
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78 | class WeaviateSubQuestionPack(BaseLlamaPack):
"""Weaviate Sub-Question query engine pack."""
def __init__(
self,
collection_name: str,
host: str,
auth_client_secret: str,
nodes: Optional[List[TextNode]] = None,
**kwargs: Any,
) -> None:
"""Init params."""
from weaviate import Client
self.client: Client = Client(host, auth_client_secret=auth_client_secret)
weaviate_client = self.client
weaviate_collection = weaviate_client.get_or_create_collection(collection_name)
self._vector_store = WeaviateVectorStore(
weaviate_collection=weaviate_collection
)
if nodes is not None:
self._storage_context = StorageContext.from_defaults(
vector_store=self._vector_store
)
self._index = VectorStoreIndex(
nodes, storage_context=self._storage_context, **kwargs
)
else:
self._index = VectorStoreIndex.from_vector_store(
self._vector_store, **kwargs
)
self._storage_context = self._index.storage_context
self.retriever = self._index.as_retriever()
query_engine = self._index.as_query_engine()
query_engine_tools = [
QueryEngineTool(
query_engine=query_engine, metadata=ToolMetadata(name="Vector Index")
)
]
self.query_engine = SubQuestionQueryEngine.from_defaults(
query_engine_tools=query_engine_tools
)
def get_modules(self) -> Dict[str, Any]:
"""Get modules."""
return {
"vector_store": self._vector_store,
"storage_context": self._storage_context,
"index": self._index,
"retriever": self.retriever,
"query_engine": self.query_engine,
}
def retrieve(self, query_str: str) -> Any:
"""Retrieve."""
return self.retriever.retrieve(query_str)
def run(self, *args: Any, **kwargs: Any) -> Any:
"""Run the pipeline."""
return self.query_engine.query(*args, **kwargs)
|
get_modules
get_modules() -> Dict[str, Any]
Get modules.
Source code in llama_index\packs\sub_question_weaviate\base.py
62
63
64
65
66
67
68
69
70 | def get_modules(self) -> Dict[str, Any]:
"""Get modules."""
return {
"vector_store": self._vector_store,
"storage_context": self._storage_context,
"index": self._index,
"retriever": self.retriever,
"query_engine": self.query_engine,
}
|
retrieve
retrieve(query_str: str) -> Any
Retrieve.
Source code in llama_index\packs\sub_question_weaviate\base.py
| def retrieve(self, query_str: str) -> Any:
"""Retrieve."""
return self.retriever.retrieve(query_str)
|
run
run(*args: Any, **kwargs: Any) -> Any
Run the pipeline.
Source code in llama_index\packs\sub_question_weaviate\base.py
| def run(self, *args: Any, **kwargs: Any) -> Any:
"""Run the pipeline."""
return self.query_engine.query(*args, **kwargs)
|