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KS Jannette
2026-05-08 09:24:35 -04:00
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@@ -6,8 +6,6 @@ Users upload source documents, or provide links to online sources including audi
Built with a React/Vite frontend and a Node.js/Express backend, using Anthropic Claude for generation, OpenAI Whisper for video audio track transcription, Voyage AI for embeddings and response cosine similarity scoring (the "groundedness" score). Built with a React/Vite frontend and a Node.js/Express backend, using Anthropic Claude for generation, OpenAI Whisper for video audio track transcription, Voyage AI for embeddings and response cosine similarity scoring (the "groundedness" score).
MIT license, by [@sjdev](https://sjdev.co).
## Query pipeline ## Query pipeline
Source Ingestion -> Parsing -> Chunking -> Embedding (using Voayge AI voyage-3 model) -> Storage (vector store) -> { user query submission } -> evaluation of user query -> Retrieval -> Ranking -> Response Generation (Using Anthopic's claude-opus-4-6 model) -> Response Groundedness Scoring (using Voyage AI rerank-r model) Source Ingestion -> Parsing -> Chunking -> Embedding (using Voayge AI voyage-3 model) -> Storage (vector store) -> { user query submission } -> evaluation of user query -> Retrieval -> Ranking -> Response Generation (Using Anthopic's claude-opus-4-6 model) -> Response Groundedness Scoring (using Voyage AI rerank-r model)
@@ -62,7 +60,6 @@ Two-package monorepo:
- `client/` -- React 19 SPA via Vite. Two-panel layout: sidebar for notebooks/data sources, main area for LLM chat with explorable citations, groundedness badges (cosine similarity scoring of LLM responses), and follow-up question chips. - `client/` -- React 19 SPA via Vite. Two-panel layout: sidebar for notebooks/data sources, main area for LLM chat with explorable citations, groundedness badges (cosine similarity scoring of LLM responses), and follow-up question chips.
## License ## License
MIT. See [LICENSE](./LICENSE). MIT. See [LICENSE](./LICENSE).