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minor - removal of extra imports

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This commit is contained in:
Atharva J 2023-11-12 01:18:41 +05:30
commit 6e0afd87c3
2 changed files with 4 additions and 13 deletions
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13
src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py
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@ -1,17 +1,11 @@
from typing import Optional, Union, List
from typing import Optional, List
from langflow import CustomComponent
import json
import lark
from langchain.vectorstores import Vectara
from langchain.schema import Document
# from langchain.vectorstores.base import VectorStore
from langchain.schema import BaseRetriever
from langchain.embeddings.base import Embeddings
from langchain.schema.vectorstore import VectorStore
from langchain.base_language import BaseLanguageModel
from langchain.retrievers.self_query.base import SelfQueryRetriever
from langchain.chains.query_constructor.base import AttributeInfo
from langchain.embeddings import FakeEmbeddings
class VectaraComponent(CustomComponent):
@ -31,13 +25,14 @@ class VectaraComponent(CustomComponent):
"display_name": "LLM",
"info": "For self query retriever"
},
'document_content_description':{
"document_content_description":{
"display_name": "Document Content Description",
"info": "For self query retriever",
},
"metadata_field_info": {
"display_name": "Metadata Field Info",
"info": "Check json format in documentation for self query retriever",
"info": "Check dictionary format in documentation for self query retriever",
"info": "Each metadata field is a json string containing additional search metadata. Example input: {\"name\":\"speech\",\"description\":\"what name of the speech\",\"type\":\"string or list[string]\"}. The keys should remain constant",
},
}

4
src/backend/langflow/components/vectorstores/Vectara.py
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@ -7,11 +7,7 @@ from langchain.vectorstores import Vectara
from langchain.schema import Document
from langchain.vectorstores.base import VectorStore
from langchain.schema import BaseRetriever
from langchain.embeddings.base import Embeddings
from langchain.schema.vectorstore import VectorStore
from langchain.base_language import BaseLanguageModel
from langchain.retrievers.self_query.base import SelfQueryRetriever
from langchain.chains.query_constructor.base import AttributeInfo
from langchain.embeddings import FakeEmbeddings