lucretia/embeddingsearch
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Updated README logo layout

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2026-01-24 19:31:59 +01:00
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README.md
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# embeddingsearch # embeddingsearch<img src="docs/logo.png" alt="Logo" width="50" align="left">
<table> embeddingsearch is a self-hosted semantic search server built on vector embeddings.<br/>It lets you index and semantically search text using modern embedding models.
<tr> <br/><br/>
<td><img src="docs/logo.png" alt="Logo" width="100"></td> It's designed to be flexible, extensible, and easy to use.
<td>
embeddingsearch is a self-hosted semantic search server built on vector embeddings.
<br/>
It lets you index and semantically search text using modern embedding models. It's designed to be flexible, extensible, and easy to use.
</td>
</tr>
</table>
# Project outline # Project outline
<img src="docs/ProjectOutline/ProjectOutlineDiagram.excalidraw.svg" alt="Logo"> <img src="docs/ProjectOutline/ProjectOutlineDiagram.excalidraw.svg" alt="Logo">
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- Support for other database types (MSSQL, SQLite, PostgreSQL, MongoDB, Redis) - Support for other database types (MSSQL, SQLite, PostgreSQL, MongoDB, Redis)
# Community # Community
<a href="https://discord.gg/MUKeZM3k"><img src="https://img.shields.io/badge/Join%20Discord-7289DA?style=flat&logo=discord&logoColor=whiteServer" alt="Discord"></img></a> <a href="https://discord.gg/MUKeZM3k"><img src="https://img.shields.io/badge/Join%20Discord-7289DA?style=flat&logo=discord&logoColor=whiteServer" alt="Discord"></img></a>