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Update display names and descriptions for AstraDB components

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This commit is contained in:
Gabriel Luiz Freitas Almeida 2024-04-03 21:53:04 -03:00
commit 2674f2f8b8
5 changed files with 69 additions and 70 deletions
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12
src/backend/base/langflow/components/vectorsearch/AstraDBSearch.py
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@ -7,8 +7,8 @@ from langflow.schema import Record
class AstraDBSearchComponent(LCVectorStoreComponent):
display_name = "AstraDB Search"
description = "Searches an existing AstraDB Vector Store."
display_name = "Astra DB Search"
description = "Searches an existing Astra DB Vector Store."
icon = "AstraDB"
field_order = ["token", "api_endpoint", "collection_name", "input_value", "embedding"]
@ -25,20 +25,20 @@ class AstraDBSearchComponent(LCVectorStoreComponent):
"embedding": {"display_name": "Embedding", "info": "Embedding to use"},
"collection_name": {
"display_name": "Collection Name",
"info": "The name of the collection within AstraDB where the vectors will be stored.",
"info": "The name of the collection within Astra DB where the vectors will be stored.",
},
"token": {
"display_name": "Token",
"info": "Authentication token for accessing AstraDB.",
"info": "Authentication token for accessing Astra DB.",
"password": True,
},
"api_endpoint": {
"display_name": "API Endpoint",
"info": "API endpoint URL for the AstraDB service.",
"info": "API endpoint URL for the Astra DB service.",
},
"namespace": {
"display_name": "Namespace",
"info": "Optional namespace within AstraDB to use for the collection.",
"info": "Optional namespace within Astra DB to use for the collection.",
"advanced": True,
},
"metric": {

12
src/backend/base/langflow/components/vectorstores/AstraDB.py
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@ -9,8 +9,8 @@ from langflow.schema import Record
class AstraDBVectorStoreComponent(CustomComponent):
display_name = "AstraDB"
description = "Builds or loads an AstraDB Vector Store."
display_name = "Astra DB"
description = "Builds or loads an Astra DB Vector Store."
icon = "AstraDB"
field_order = ["token", "api_endpoint", "collection_name", "inputs", "embedding"]
@ -23,20 +23,20 @@ class AstraDBVectorStoreComponent(CustomComponent):
"embedding": {"display_name": "Embedding", "info": "Embedding to use"},
"collection_name": {
"display_name": "Collection Name",
"info": "The name of the collection within AstraDB where the vectors will be stored.",
"info": "The name of the collection within Astra DB where the vectors will be stored.",
},
"token": {
"display_name": "Token",
"info": "Authentication token for accessing AstraDB.",
"info": "Authentication token for accessing Astra DB.",
"password": True,
},
"api_endpoint": {
"display_name": "API Endpoint",
"info": "API endpoint URL for the AstraDB service.",
"info": "API endpoint URL for the Astra DB service.",
},
"namespace": {
"display_name": "Namespace",
"info": "Optional namespace within AstraDB to use for the collection.",
"info": "Optional namespace within Astra DB to use for the collection.",
"advanced": True,
},
"metric": {

30
src/backend/base/langflow/initial_setup/starter_projects/AstraDB-RAG-Flows.json → src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
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