A LangChain integration for Snowflake's vector database capabilities, enabling semantic search and similarity matching using Snowflake's native VECTOR data type and VECTOR_COSINE_SIMILARITY function.

-- embedding text using Snowflake Cortex. These embeddings will be stored in a Snowflake Table with -- the new VECTOR data type. -- 1. Create the table where we are going to store the chunks and ...