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authorLain Soykaf <lain@lain.com>2024-05-19 13:04:27 +0400
committerLain Soykaf <lain@lain.com>2024-05-19 13:04:27 +0400
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+# About
+This is a minimal implementation of the [OpenAI Embeddings API](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings) meant to be used with the QdrantSearch backend.
+
+# Usage
+
+The easiest way to run it is to just use docker compose with `docker compose up`. This starts the server on the default configured port. Different models can be used, for a full list of supported models, check the [fastembed documentation](https://qdrant.github.io/fastembed/examples/Supported_Models/). The first time a model is requested it will be downloaded, which can take a few seconds.