chore(docs): Update vector store notebook#96
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averikitsch merged 12 commits intogoogleapis:mainfrom Oct 4, 2024
vmanghnani:patch-1
Merged
chore(docs): Update vector store notebook#96averikitsch merged 12 commits intogoogleapis:mainfrom vmanghnani:patch-1
averikitsch merged 12 commits intogoogleapis:mainfrom
vmanghnani:patch-1
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1. Added Installation of additional dependencies "langchain-google-vertexai" it is needed for text embedding generation. 2. Set "GOOGLE_CLOUD_PROJECT" env variable for PROJECT_ID, it is needed for table creation / SQL execution in vector_store module. 3. Specified "id_column" value as "row_id", to match it with table creation in "init_vector_store_table" function, if "id_column" is not set then default value is "langchain_id"
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averikitsch
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Oct 1, 2024
| " database_id=DATABASE,\n", | ||
| " table_name=TABLE_NAME,\n", | ||
| " ignore_metadata_columns=[],\n", | ||
| " id_column=\"row_id\",\n", |
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We could similarity update this section to call out the customization:
db = SpannerVectorStore(
instance_id=INSTANCE,
database_id=DATABASE,
table_name=TABLE_NAME,
embedding_service=embeddings,
# Connect to a custom vector store table
# id_column="row_id",
# content_column="content_column",
# metadata_columns=["metadata", "title"]
# metadata_json_column="my-json-metadata",
)
Co-authored-by: Averi Kitsch <akitsch@google.com>
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Oct 2, 2024
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Updated code based on few suggestions
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#98 is submitted to make "metadata_columns" option parameter. For now, update code to make it fully functional in colab env
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Oct 4, 2024
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Added Installation of additional dependencies "langchain-google-vertexai" it is needed for text embedding generation.
Set "GOOGLE_CLOUD_PROJECT" env variable for PROJECT_ID, it is needed for table creation / SQL execution in vector_store module.
Specified "id_column" value as "row_id", to match it with table creation in "init_vector_store_table" function, if "id_column" is not set then default value is "langchain_id"