# Dicklesworthstone/swiss\_army\_llama

<https://repo.masters-masters.com/en/repos/Dicklesworthstone/swiss_army_llama>

[Home](https://repo.masters-masters.com/en) › [Dicklesworthstone](https://repo.masters-masters.com/en/owners/Dicklesworthstone) › [swiss\_army\_llama](https://repo.masters-masters.com/en/repos/Dicklesworthstone/swiss_army_llama)

Dicklesworthstone/swiss\_army\_llama has 1,052 stars on GitHub. Its RepoMasters card: Beta tier. A FastAPI service for semantic text search using precomputed…

| Field | Value |
| --- | --- |
| Owner | [Dicklesworthstone](https://repo.masters-masters.com/en/owners/Dicklesworthstone) |
| Stars | 1,052 |
| Forks | 67 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | embedding-similarity, embedding-vectors, embeddings, llama2, llamacpp, semantic-search |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [Dicklesworthstone/swiss\_army\_llama](https://github.com/Dicklesworthstone/swiss_army_llama) |

## Repository

A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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