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docs: update colabs (#30)
* docs: update colabs * add links
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‎docs/chat_message_history.ipynb‎

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@@ -6,10 +6,14 @@
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"collapsed": false
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},
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"source": [
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"# Cloud Spanner\n",
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"> [Cloud Spanner](https://cloud.google.com/spanner) is a highly scalable database that combines unlimited scalability with relational semantics, such as secondary indexes, strong consistency, schemas, and SQL providing 99.999% availability in one easy solution.\n",
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"# Google Spanner\n",
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"> [Spanner](https://cloud.google.com/spanner) is a highly scalable database that combines unlimited scalability with relational semantics, such as secondary indexes, strong consistency, schemas, and SQL providing 99.999% availability in one easy solution.\n",
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"\n",
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"This notebook goes over how to use `Spanner` to store chat message history with the `SpannerChatMessageHistory` class."
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"This notebook goes over how to use `Spanner` to store chat message history with the `SpannerChatMessageHistory` class.\n",
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"\n",
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"Learn more about the package on [GitHub](https://github.com/googleapis/langchain-google-spanner-python/).\n",
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"\n",
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"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/googleapis/langchain-google-spanner-python/blob/main/samples/chat_message_history.ipynb)"
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]
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},
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{
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},
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"outputs": [],
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"source": [
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"# enable Cloud SQL Admin API\n",
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"# enable Spanner API\n",
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"!gcloud services enable spanner.googleapis.com"
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]
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},
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"id": "OMvzMWRrR6n7"
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},
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"source": [
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"### Set Cloud SQL database values\n",
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"Find your database values, in the [Cloud SQL Instances page](https://console.cloud.google.com/sql?_ga=2.223735448.2062268965.1707700487-2088871159.1707257687)."
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"### Set Spanner database values\n",
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"Find your database values, in the [Spanner Instances page](https://console.cloud.google.com/spanner)."
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]
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},
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{

‎docs/document_loader.ipynb‎

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@@ -4,12 +4,14 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Spanner\n",
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"# Google Spanner\n",
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"\n",
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"> [Spanner](https://cloud.google.com/spanner) is a highly scalable database that combines unlimited scalability with relational semantics, such as secondary indexes, strong consistency, schemas, and SQL providing 99.999% availability in one easy solution. Extend your database application to build AI-powered experiences leveraging Cloud SQL's Langchain integrations.\n",
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"> [Spanner](https://cloud.google.com/spanner) is a highly scalable database that combines unlimited scalability with relational semantics, such as secondary indexes, strong consistency, schemas, and SQL providing 99.999% availability in one easy solution.\n",
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"\n",
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"This notebook goes over how to use [Spanner](https://cloud.google.com/spanner) to [save, load and delete langchain documents](https://python.langchain.com/docs/modules/data_connection/document_loaders/) with `SpannerLoader` and `SpannerDocumentSaver`.\n",
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"\n",
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"Learn more about the package on [GitHub](https://github.com/googleapis/langchain-google-spanner-python/).\n",
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"\n",
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"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/googleapis/langchain-google-spanner-python/blob/main/docs/document_loader.ipynb)"
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]
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},

‎docs/vector_store.ipynb‎

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Original file line numberDiff line numberDiff line change
@@ -4,10 +4,14 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
7-
"# Cloud Spanner\n",
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"> [Cloud Spanner](https://cloud.google.com/spanner) is a highly scalable database that combines unlimited scalability with relational semantics, such as secondary indexes, strong consistency, schemas, and SQL providing 99.999% availability in one easy solution.\n",
7+
"# Google Spanner\n",
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"> [Spanner](https://cloud.google.com/spanner) is a highly scalable database that combines unlimited scalability with relational semantics, such as secondary indexes, strong consistency, schemas, and SQL providing 99.999% availability in one easy solution.\n",
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"\n",
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"This notebook goes over how to use `Spanner` for Vector Search with `SpannerVectorStore` class."
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"This notebook goes over how to use `Spanner` for Vector Search with `SpannerVectorStore` class.\n",
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"\n",
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"Learn more about the package on [GitHub](https://github.com/googleapis/langchain-google-spanner-python/).\n",
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"\n",
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"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/googleapis/langchain-google-spanner-python/blob/main/docs/vector_store.ipynb)"
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]
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},
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{
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"metadata": {},
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"outputs": [],
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"source": [
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"# enable Cloud SQL Admin API\n",
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"# enable Spanner API\n",
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"!gcloud services enable spanner.googleapis.com"
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]
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},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Set Cloud Spanner database values\n",
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"Find your database values, in the [Cloud Spanner Instances page](https://console.cloud.google.com/spanner?_ga=2.223735448.2062268965.1707700487-2088871159.1707257687)."
157+
"### Set Spanner database values\n",
158+
"Find your database values, in the [Spanner Instances page](https://console.cloud.google.com/spanner?_ga=2.223735448.2062268965.1707700487-2088871159.1707257687)."
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]
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},
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{

‎samples/langchain_quick_start.ipynb‎

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"outputs": [],
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"source": [
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"%pip install langchain-google-spanner\n",
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"\n",
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"# Install additional dependencies\n",
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"%pip install langchain langchain-google-vertexai"
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]
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"from google.colab import auth\n",
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"\n",
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"auth.authenticate_user()"
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"!gcloud auth login"
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]
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},
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{
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"database = instance.database(database_id)\n",
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"table_name = \"netflix_titles\"\n",
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"\n",
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"database.update_ddl(\n",
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"operation = database.update_ddl(\n",
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" [\n",
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" \"\"\"CREATE TABLE IF NOT EXISTS {} (\n",
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" show_id STRING(MAX) NOT NULL,\n",
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" table_name\n",
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" )\n",
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" ]\n",
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")"
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")\n",
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"\n",
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"print(\"Waiting for operation to complete...\")\n",
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"operation.result(240)\n",
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"\n",
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"print(\"Table created.\")"
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]
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},
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{

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