swiss_army_llama
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Swiss_army_llama offers a versatile semantic text search FastAPI service with precomputed embeddings, similarity measures, and support for various file types via textract.
Good fit when
- For projects requiring a comprehensive API solution that includes built-in support for diverse file formats like PDF, image, audio and more through textract
- When you need integration with the llama-cpp-python library for advanced text search capabilities
Avoid when
- Avoid if your project is strictly focused on real-time embeddings calculation without leveraging precomputed data
- Not suitable for developers looking to avoid extensive system dependencies listed in its requirements
Observed Jul 15, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (557d since push)
- As of Sep 8, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 8, 2026
- Security (OSV)
- No criticals
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install swiss_army_llama PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This Python-based repository offers a FastAPI service focused on semantic text search with support for various file types via textract, leveraging precomputed embeddings and advanced similarity techniques.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 8, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 8, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 8, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Requirements System requirements for running the application (to support all the file types handled by textract): Python Requirements: License This project is licensed under the MIT License.
For agents
This page has a .md twin and JSON over the API.