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It serves as a self-hostable alternative to Algolia with support for vector search, geo-search, and faceted filtering.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- docker run -p 8108:8108 -v/tmp/data:/data typesense/typesense:29.0 --data-dir /data --api-key=Hu52dwsas2AdxdE\n- pip install typesense\n\nRequirements and caveats from upstream:\n- <a href=\"https://hub.docker.com/r/typesense/typesense/tags\"><img src=\"https://img.shields.io/docker/pulls/typesense/typesense\"></a>\n- With a dataset containing **3 Million products** (Amazon product data), Typesense was able to handle a throughput of **250 concurrent search queries per second** on an 8-vCPU 3-node Highly Available Typesense cluster.\n- On Typesense Cloud we serve more than **10 BILLION** searches per month. Typesense's Docker images have been downloaded over 12M times.\n\nBasic usage or getting-started notes:\n- [Quick Start](#quick-start)\n- **No Runtime Dependencies:** Typesense is a single binary that you can run locally or in production with a single command.\n- **Option 1:** You can download the [binary packages](https://typesense.org/downloads) that we publish for\n\n- Source: https://github.com/typesense/typesense\n- Extracted from upstream docs: https://raw.githubusercontent.com/typesense/typesense/HEAD/README.md\n\n## Source\n\n- [Agent Skill 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