v0.1.0

Added

• Browser- and Node.js-compatible local reranking powered by Transformers.js and open Hugging Face cross-encoder models.
• The Reranker API for ranking strings or structured documents while preserving each original document, index, and relevance score.
• Explicit model configuration with support for Transformers.js options such as device and dtype; dtype defaults to auto.
• Result limiting with the topK option.
• Custom reranking strategies through strategyFactory.
• Typed errors for invalid input, unsupported strategies, model-loading failures, and attempts to use a disposed reranker.
• Resource cleanup through dispose() and Symbol.asyncDispose, including safe handling of active ranking calls and repeated disposal.
• A LangChain BaseDocumentCompressor adapter exported from rerankers/langchain, with compressDocuments() and raw rerank() support.
• A Vercel AI SDK reranking model exported from rerankers/ai-sdk, supporting text and object documents.
• TypeScript declarations for the core library and both optional ecosystem adapters.
• Documentation for tested English, multilingual, and Chinese-English reranking models.
• A browser demo showing local document reranking.