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CosmosDB integration for LangChain.js","maintainers":[{"email":"oss-admin@langchain.dev","name":"lc-oss-admin"},{"email":"infra@langchain.dev","name":"langchain-security"}],"readme":"# @langchain/azure-cosmosdb\n\nThis package contains the [Azure CosmosDB](https://learn.microsoft.com/azure/cosmos-db/) vector store integrations.\n\nLearn more about how to use this package in the LangChain documentation:\n\n- [Azure CosmosDB for NoSQL](https://js.langchain.com/docs/integrations/vector_stores/azure_cosmosdb_nosql)\n- [Azure DocumentDB](https://js.langchain.com/docs/integrations/vector_stores/azure_documentdb)\n\n## Installation\n\n```bash npm2yarn\nnpm install @langchain/azure-cosmosdb @langchain/core\n```\n\nThis package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).\nIf 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.\nYou can do so by adding appropriate fields to your project's `package.json` like this:\n\n```json\n{\n  \"name\": \"your-project\",\n  \"version\": \"0.0.0\",\n  \"dependencies\": {\n    \"@langchain/core\": \"^0.3.0\",\n    \"@langchain/azure-cosmosdb\": \"^0.2.5\"\n  },\n  \"resolutions\": {\n    \"@langchain/core\": \"0.3.0\"\n  },\n  \"overrides\": {\n    \"@langchain/core\": \"0.3.0\"\n  },\n  \"pnpm\": {\n    \"overrides\": {\n      \"@langchain/core\": \"0.3.0\"\n    }\n  }\n}\n```\n\nThe 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.\n\n## Usage\n\n```typescript\nimport { AzureCosmosDBNoSQLVectorStore } from \"@langchain/azure-cosmosdb\";\n\nconst store = await AzureCosmosDBNoSQLVectorStore.fromDocuments(\n  [\"Hello, World!\"],\n  new OpenAIEmbeddings(),\n  {\n    databaseName: \"langchain\",\n    containerName: \"documents\",\n  }\n);\n\nconst resultDocuments = await store.similaritySearch(\"hello\");\nconsole.log(resultDocuments[0].pageContent);\n```\n","readmeFilename":"README.md"}