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Fix typo in 'Methodology' section header

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S Jannette
2026-05-08 04:46:43 -04:00
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@@ -34,7 +34,7 @@ make dev
This app demonstrates the core source-grounded Q&A pattern with transparent retrieval, generation, and groundedness scoring (LLM response quality cosine scoring) -- all with swappable models and is fully open source. This app demonstrates the core source-grounded Q&A pattern with transparent retrieval, generation, and groundedness scoring (LLM response quality cosine scoring) -- all with swappable models and is fully open source.
## Methedology ## Methodology
This application is a RAG (Retrieval-Augmented Generation) system that allows users to upload source documents — PDFs, DOCX files, plain text, audio files, web URLs, and YouTube videos — which are then parsed, split into ~2000-character overlapping chunks, and converted into vector embeddings using Voyage AI's voyage-3 model. Those embeddings are stored in an in-memory vector store. This application is a RAG (Retrieval-Augmented Generation) system that allows users to upload source documents — PDFs, DOCX files, plain text, audio files, web URLs, and YouTube videos — which are then parsed, split into ~2000-character overlapping chunks, and converted into vector embeddings using Voyage AI's voyage-3 model. Those embeddings are stored in an in-memory vector store.