{"_id":"@carbide/l6-vector-store","name":"@carbide/l6-vector-store","dist-tags":{"latest":"1.0.0"},"versions":{"1.0.0":{"name":"@carbide/l6-vector-store","version":"1.0.0","description":"VectorStore 组件，向量存储与检索 - Day 2 核心组件 L6","main":"dist/index.cjs.js","module":"dist/index.esm.js","types":"dist/index.d.ts","scripts":{"build":"rollup -c","test":"jest","prepublishOnly":"npm run build"},"keywords":["langchain","vector","embedding","retrieval","chroma"],"license":"MIT","dependencies":{"@langchain/classic":"^1.0.31","@langchain/community":"^1.1.27","@langchain/core":"^1.1.40","@langchain/openai":"^1.4.4","chromadb":"^3.4.3","dotenv":"^17.4.2","langchain":"^1.3.3"},"devDependencies":{"@rollup/plugin-typescript":"^11.1.6","@types/jest":"^30.0.0","jest":"^29.7.0","rollup":"^4.13.0","ts-jest":"^29.1.2","tslib":"^2.6.2","typescript":"^5.4.3"},"_id":"@carbide/l6-vector-store@1.0.0","gitHead":"8fcec274b8440276b389983dbb41d0d710e52962","_nodeVersion":"22.14.0","_npmVersion":"10.9.2","dist":{"integrity":"sha512-pAavBkf/UJVDkgRaxZkmZO7onenlmXFJC4rHVWBB/p82ttbg8hhg+b9fo2+29u95kodqu4LkO06G3FKrlAEHmg==","shasum":"c944c0f8704359907ece49232d9985d325a9f0a1","tarball":"https://registry.npmjs.org/@carbide/l6-vector-store/-/l6-vector-store-1.0.0.tgz","fileCount":8,"unpackedSize":32828,"signatures":[{"keyid":"SHA256:DhQ8wR5APBvFHLF/+Tc+AYvPOdTpcIDqOhxsBHRwC7U","sig":"MEQCIBYrXcRxtXHasGTVvZH3jrddKLHdPtJS1lHq0K6WCjSuAiBQa6ziEU+4naOMKIk5muq0U9NyhgVb8v7Bk5+ur1lxEA=="}]},"_npmUser":{"name":"carbide","email":"15867139271@163.com"},"directories":{},"maintainers":[{"name":"carbide","email":"15867139271@163.com"}],"_npmOperationalInternal":{"host":"s3://npm-registry-packages-npm-production","tmp":"tmp/l6-vector-store_1.0.0_1776500724405_0.013433950572658171"},"_hasShrinkwrap":false}},"time":{"created":"2026-04-18T08:25:24.282Z","1.0.0":"2026-04-18T08:25:24.535Z","modified":"2026-04-18T08:25:24.735Z"},"maintainers":[{"name":"carbide","email":"15867139271@163.com"}],"description":"VectorStore 组件，向量存储与检索 - Day 2 核心组件 L6","keywords":["langchain","vector","embedding","retrieval","chroma"],"license":"MIT","readme":"# L6 VectorStore 组件\n\n向量存储与检索组件，支持文档嵌入和相似度搜索。\n\n## 功能\n\n- 文档向量化存储\n- 相似度搜索\n- 最大边际相关性搜索 (MMR)\n- Retriever 接口\n\n## 使用\n\n```typescript\nimport { VectorStoreService } from '@carbide/l6-vector-store';\n\nconst store = new VectorStoreService({ apiKey: 'your-api-key' });\nawait store.initialize();\n\n// 添加文档\nawait store.addDocuments([\n  \"LangChain 是一个用于开发 LLM 应用的框架\",\n  \"向量数据库用于存储和检索向量数据\"\n], [{ source: \"doc1\" }, { source: \"doc2\" }]);\n\n// 搜索\nconst results = await store.similaritySearch(\"什么是 LangChain?\", 2);\nconsole.log(results);\n```\n","readmeFilename":"README.md","_rev":"1-25445980938d75dd13c3f744c8f50c8f"}