Intelligence that understands context.
Praxis isn't just a transcriber. It's an active participant that learns from previous sessions, understands medical/legal terminology, and drafts documents like a human expert.
Semantic Memory
Our Vector DB (Supabase pgvector) stores every session. Ask "What did we discuss about the patient's medication last month?" and get an instant answer.
Contextual Follow-ups
The AI suggests follow-up questions during the live session based on missing information required for the final report.
Zero-Shot Templates
Create new document types just by describing them. "Create a referral letter for checking cardiologist with a focus on arrhythmia."
Under the hood.
RAG Architecture
Hybrid search combining keyword and semantic embeddings for perfect recall.
Real-time Streaming
WebSockets push audio chunks to Deepgram and stream text back in <300ms.
const embeddings = await openai.createEmbedding(query);
const results = await supabase.rpc('match_documents', {
query_embedding: embeddings,
match_threshold: 0.78,
match_count: 5
});