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integration for LangChain.js","maintainers":[{"email":"oss-admin@langchain.dev","name":"lc-oss-admin"},{"email":"infra@langchain.dev","name":"langchain-security"}],"readme":"# @langchain/weaviate\n\nThis package contains the LangChain.js integrations for Weaviate with the `weaviate-client` SDK.\n\n## Installation\n\n```bash npm2yarn\nnpm install @langchain/weaviate @langchain/core\n```\n\n## Vectorstore\n\nThis package adds support for Weaviate vectorstore.\n\nTo follow along with this example install the `@langchain/openai` package for their Embeddings model.\n\n```bash\nnpm install @langchain/openai\n```\n\nNow set the necessary environment variables (or pass them in via the client object):\n\n```bash\nexport WEAVIATE_SCHEME=\nexport WEAVIATE_HOST=\nexport WEAVIATE_API_KEY=\n```\n\n```typescript\nimport weaviate, { ApiKey } from \"weaviate-client\";\nimport { WeaviateStore } from \"@langchain/weaviate\";\n\n// Weaviate SDK has a TypeScript issue so we must do this.\nconst client = (weaviate as any).client({\n  scheme: process.env.WEAVIATE_SCHEME || \"https\",\n  host: process.env.WEAVIATE_HOST || \"localhost\",\n  apiKey: new ApiKey(process.env.WEAVIATE_API_KEY || \"default\"),\n});\n\n// Create a store and fill it with some texts + metadata\nawait WeaviateStore.fromTexts(\n  [\"hello world\", \"hi there\", \"how are you\", \"bye now\"],\n  [{ foo: \"bar\" }, { foo: \"baz\" }, { foo: \"qux\" }, { foo: \"bar\" }],\n  new OpenAIEmbeddings(),\n  {\n    client,\n    indexName: \"Test\",\n    textKey: \"text\",\n    metadataKeys: [\"foo\"],\n  }\n);\n```\n\n## Development\n\nTo develop the `@langchain/weaviate` package, you'll need to follow these instructions:\n\n### Install dependencies\n\n```bash\npnpm install\n```\n\n### Build the package\n\n```bash\npnpm build\n```\n\nOr from the repo root:\n\n```bash\npnpm build --filter @langchain/weaviate\n```\n\n### Run tests\n\nTest files should live within a `tests/` file in the `src/` folder. 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