feat: replace Voyage AI with local ONNX embeddings (@xenova/transformers)#2
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…ers) Swap Voyage AI (voyage-3, 1024-dim, requires API key) for local ONNX inference using @xenova/transformers with all-MiniLM-L6-v2 (384-dim). The model downloads ~23MB on first call and runs in-process with no external API key required. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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# [0.3.0](v0.2.0...v0.3.0) (2026-03-17) ### Features * replace Voyage AI with local ONNX embeddings (@xenova/transformers) ([#2](#2)) ([4a007a2](4a007a2))
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🎉 This PR is included in version 0.3.0 🎉 The release is available on GitHub release Your semantic-release bot 📦🚀 |
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Summary
voyageaipackage (Voyage AIvoyage-3, 1024-dim) with@xenova/transformersusing theXenova/all-MiniLM-L6-v2model (384-dim)Changes
resources.js: swap import, replacegetVoyageClient()withgetEmbeddingPipeline(), rewritegenerateEmbedding()to useextractor(text, { pooling: 'mean', normalize: true })package.json: removevoyageai, add@xenova/transformers: ^2.17.2.env.example: removeVOYAGE_API_KEY, add explanatory comment about local ONNXvoyageaimock with@xenova/transformersmock, removeVOYAGE_API_KEYenv setup, update dimension assertions (1024 → 384)CLAUDE.md,README.md,docs/architecture.md,docs/synapse-design.mdTest plan
npm teston Node 24)voyageaiorVOYAGE_API_KEYreferences in source filesnpm run devstarts withoutVOYAGE_API_KEYset🤖 Generated with Claude Code