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minor - removal of extra imports

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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 from langflow import CustomComponent
import json 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.schema import BaseRetriever
from langchain.embeddings.base import Embeddings
from langchain.schema.vectorstore import VectorStore from langchain.schema.vectorstore import VectorStore
from langchain.base_language import BaseLanguageModel from langchain.base_language import BaseLanguageModel
from langchain.retrievers.self_query.base import SelfQueryRetriever from langchain.retrievers.self_query.base import SelfQueryRetriever
from langchain.chains.query_constructor.base import AttributeInfo from langchain.chains.query_constructor.base import AttributeInfo
from langchain.embeddings import FakeEmbeddings
class VectaraComponent(CustomComponent): class VectaraComponent(CustomComponent):
@ -31,13 +25,14 @@ class VectaraComponent(CustomComponent):
"display_name": "LLM", "display_name": "LLM",
"info": "For self query retriever" "info": "For self query retriever"
}, },
'document_content_description':{ "document_content_description":{
"display_name": "Document Content Description", "display_name": "Document Content Description",
"info": "For self query retriever", "info": "For self query retriever",
}, },
"metadata_field_info": { "metadata_field_info": {
"display_name": "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.schema import Document
from langchain.vectorstores.base import VectorStore from langchain.vectorstores.base import VectorStore
from langchain.schema import BaseRetriever from langchain.schema import BaseRetriever
from langchain.embeddings.base import Embeddings
from langchain.schema.vectorstore import VectorStore 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 from langchain.embeddings import FakeEmbeddings