This package contains the Azure CosmosDB vector store integrations.
Learn more about how to use this package in the LangChain documentation:
npm install @langchain/azure-cosmosdb @langchain/core
This package, along with the main LangChain package, depends on @langchain/core.
If you are using this package with other LangChain packages, you should make sure that all of the packages depend on the same instance of @langchain/core.
You can do so by adding appropriate fields to your project's package.json like this:
{
"name": "your-project",
"version": "0.0.0",
"dependencies": {
"@langchain/core": "^0.3.0",
"@langchain/azure-cosmosdb": "^0.2.5"
},
"resolutions": {
"@langchain/core": "0.3.0"
},
"overrides": {
"@langchain/core": "0.3.0"
},
"pnpm": {
"overrides": {
"@langchain/core": "0.3.0"
}
}
}
The field you need depends on the package manager you're using, but we recommend adding a field for the common yarn, npm, and pnpm to maximize compatibility.
import { AzureCosmosDBNoSQLVectorStore } from "@langchain/azure-cosmosdb";
const store = await AzureCosmosDBNoSQLVectorStore.fromDocuments(
["Hello, World!"],
new OpenAIEmbeddings(),
{
databaseName: "langchain",
containerName: "documents",
}
);
const resultDocuments = await store.similaritySearch("hello");
console.log(resultDocuments[0].pageContent);Represents a Semantic Cache that uses CosmosDB NoSQL backend as the underlying
Azure Cosmos DB for NoSQL vector store.
Class for storing chat message history with Cosmos DB NoSQL. It extends the
Azure DocumentDB Chat Message History.
Represents a Semantic Cache that uses Azure DocumentDB as the underlying
Azure DocumentDB vector store.
Type for the input to the AzureCosmosDBNoSQLChatMessageHistory constructor.
Configuration options for the AzureCosmosDBNoSQLVectorStore constructor.
Full-text rank filter item for full-text ranking queries.
Initialization options for the Azure CosmosDB for NoSQL database and container.
Configuration options for the AzureDocumentDBVectorStore constructor.