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\n

BM42-js ⚡️

\n

Typescript/NodeJS implementation of Qdrant BM42

\n \"npmjs.org\"\n \"Apache\n
\n\n## 🔍 Not looking for JS?\n\n- Python 🐍: [BM42 with FastEmbed](https://github.com/qdrant/fastembed)\n- Rust 🦀: [BM42-rs](https://github.com/Anush008/bm42-rs)\n\n## 📥 Installation\n\nRun the following command in your project directory:\n\n```bash\nnpm install @anush008/bm42\n```\n\n## Platform Support\n\nThis library uses Rust bindings of https://github.com/Anush008/bm42-rs. Works for the following architectures.\n\n- darwin-arm64\n- darwin-x64\n- linux-x64-gnu\n- win32-x64-msvc\n\n## 📖 Usage\n\n### Generating Sparse Embeddings\n\n```rust\nimport { BM42 } from \"@anush008/bm42\";\n\n// With default options\nlet bm42 = new BM42();\n\n// With custom options\nlet bm42 = new BM42({\n alpha: 0.5,\n showDownloadProgress: true,\n // others\n});\n\nlet texts = [\n \"It's a truth universally acknowledged that a zombie in possession of brains must be in want of more brains.\",\n \"We're not in Infinity; we're in the suburbs.\",\n \"I was a thousand times more evil than thou!\",\n \"History is merely a list of surprises... It can only prepare us to be surprised yet again.\",\n];\n\n// Generate embeddings for indexing\nlet doc_embeddings = bm42.embed(texts);\n\n// Generate embeddings for querying\nlet query_embeddings = bm42.queryEmbed(texts);\n```\n\n## 📄 LICENSE\n\nApache 2.0 © [2024](https://github.com/Anush008/bm42-js/blob/main/LICENSE)","readmeFilename":"README.md"}