Swiss Army Llama

Overview

Swiss Army Llama is a FastAPI service that provides semantic text search using precomputed embeddings and advanced similarity measures. It supports multiple file types through textract, allowing users to index and search over documents.

Best for

Best for
Developers seeking a lightweight semantic search server for static document sets

Use cases

• Index a collection of documents for fast semantic search
• Query search endpoints with natural language for relevant results
• Incorporate file ingestion from various formats like PDFs and Word docs

Notes

Swiss Army Llama is a FastAPI service that provides semantic text search using precomputed embeddings and advanced similarity measures. It supports multiple file types through textract, allowing users to index and search over documents.

1,053 stars on GitHub. Last updated 2025-02-27.

Use cases

• Index a collection of documents for fast semantic search
• Query search endpoints with natural language for relevant results
• Incorporate file ingestion from various formats like PDFs and Word docs

Pros

• High performance due to precomputed embeddings and FastAPI async capabilities
• Broad file type support via textract integration
• Straightforward API design for embedding and similarity operations

Cons

• Requires embeddings to be precomputed, adding initial setup and storage overhead
• Textract dependency may be heavy or have limited accuracy with complex documents
• Not designed for dynamic document collections that need live embedding updates

Indexed from awesome-llm and enriched against its public facts.