storing metadata present in csv in vector store for retrieval #12884
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To efficiently store and retrieve metadata from a CSV in a vector store and then build a SnowSQL query based on user input, you can follow a structured approach using specific classes designed for metadata filtering and querying. Here's a concise guide:
Here's a simplified example to illustrate the process: # Example: Define and combine metadata filters
filters = [
MetadataFilter(key="column_name_1", value="value_1", operator=FilterOperator.EQ),
MetadataFilter(key="column_name_2", value=10, operator=FilterOperator.GT),
]
metadata_filters = MetadataFilters(filters=filters, condition=FilterCondition.AND)
# Example: Query vector store with filters
vector_store_query = VectorStoreQuery(filters=metadata_filters, query="your query string")
query_result = vector_store.query(vector_store_query)
# Use the query_result to construct your SnowSQL query This method ensures that you can dynamically filter and retrieve metadata based on user-defined criteria, enabling the construction of precise SnowSQL queries. Sources
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Hi Team
I have metadata of my structure data present in snowflake. I have columns around 500. So, i want to 1st retrieve the qualified columns based on user query from metadata and then build the snow sql query. So my question is how can i store the metadata in the vector store?
Thanks & Regards
Pradipta
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