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The package ships known output\ndimensions for ten common Ollama embedding models out of the box\n(`KNOWN_OLLAMA_MODEL_DIMS`); any other model works too by passing an\nexplicit `dim`:\n\n| Model | Dim | Notes |\n|---|---:|---|\n| `nomic-embed-text` (default) | 768 | Multilingual; the de-facto Ollama default. |\n| `mxbai-embed-large` | 1024 | Strong English; competitive with cloud peers. |\n| `snowflake-arctic-embed` | 1024 | Strong English. |\n| `snowflake-arctic-embed2` | 1024 | Multilingual successor to arctic-embed. |\n| `bge-m3` | 1024 | Multilingual; same family also ships via the transformers.js adapter. |\n| `bge-large` | 1024 | Strong English. |\n| `embeddinggemma` | 768 | Multilingual (Google). |\n| `paraphrase-multilingual` | 768 | Multilingual paraphrase family. |\n| `all-minilm` | 384 | Compact English. |\n| `granite-embedding` | 384 | Compact (IBM). |\n\nMulti-size models (e.g. tags whose dimension depends on the `:0.6b` /\n`:4b` / `:8b` variant) are deliberately omitted from the known-dims\nmap so an ambiguous bind fails loudly instead of baking a wrong width.\n\n## Install\n\n```bash\npnpm add @graphorin/embedder-ollama\n```\n\nThe package has **no native peers**. It uses the standard `fetch`\nAPI to talk to a running Ollama instance (default\n`http://127.0.0.1:11434`).\n\n## Quick start\n\n```ts\nimport { createOllamaEmbedder } from '@graphorin/embedder-ollama';\n\nconst embedder = createOllamaEmbedder({\n  model: 'nomic-embed-text',\n  baseUrl: 'http://127.0.0.1:11434',\n});\n\nconst [vec] = await embedder.embed(['Loves espresso.']);\nconsole.log(embedder.id(), embedder.dim(), vec.length);\n```\n\n## Trust + privacy\n\nThe embedder itself performs no trust classification - it is a thin\nclient for whatever `baseUrl` you give it, and it never talks to\nanything else. Point it at a loopback Ollama (`http://127.0.0.1:11434`,\nthe default) and embeddings never leave the machine. Trust\nclassification and sensitivity gating for LLM traffic live one layer\nup, in `@graphorin/provider`'s `LocalProviderTrust` classifier; apply\nthe same judgement before pointing this embedder at a remote host.\n\n## Versioning of `embedder_id`\n\nThe canonical id includes the Ollama model digest discovered via\n`POST /api/show` at construction time. A model upgrade in the same\nOllama instance produces a different digest - and therefore a\ndifferent `embedder_id`. The default `lock-on-first` policy in\n`@graphorin/store-sqlite` then fires the same migration path the\nexisting `transformersjs` swap takes.\n\n## License\n\nMIT © 2026 Oleksiy Stepurenko.\n\n---\n\n**Project Graphorin** · v0.15.1 · MIT License · © 2026 Oleksiy Stepurenko · <https://github.com/o-stepper/graphorin>\n","readmeFilename":"README.md"}