@ -210,7 +210,11 @@ from langchain_community.vectorstores import MatchingEngine
> Google BigQuery Vector Search
> Google BigQuery Vector Search
> BigQuery vector search lets you use GoogleSQL to do semantic search, using vector indexes for fast but approximate results, or using brute force for exact results.
> BigQuery vector search lets you use GoogleSQL to do semantic search, using vector indexes for fast but approximate results, or using brute force for exact results.
> It can calculate Euclidean or Cosine distance. With LangChain, we default to use Euclidean distance.
> It can calculate Euclidean or Cosine distance. With LangChain, we default to use Euclidean distance.
> This is a private preview (experimental) feature. Please submit this
"This tutorial illustrates how to work with an end-to-end data and embedding management system in LangChain, and provide scalable semantic search in BigQuery."
"This tutorial illustrates how to work with an end-to-end data and embedding management system in LangChain, and provide scalable semantic search in BigQuery."
]
]
},
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is a **private preview (experimental)** feature. Please submit this\n",