Answers that evolve with you.

Der Sprechertext dieses Films, aus seiner Untertiteldatei.

Facing delays retrieving RAG answers from live streaming queries? Stream-RAG provides instant, evolving responses, eliminating waiting times. I'm a product marketing lead for Stream-RAG, showcasing our real-time RAG system for the Samsung PRISM Hackathon. We empower AI developers and researchers with dynamic, private data querying capabilities. We'll query a live news feed to clearly demonstrate our early retrieval strength. As I type a multi-intent query, Stream-RAG starts retrieving evidence instantly, long before the full question is complete. Notice how initial results appear and dynamically evolve on screen as the query continues to unfold. The system continuously updates these grounded answers in real-time, adapting to new input. Now, I'll quickly correct a constraint within the query by adding 'city: Delhi'. Stream-RAG selectively refines the existing results without needing to re-process the entire original query. You can see the evidence visibly shifting on screen, immediately reflecting our new city parameter. The AI answer instantly updates, always grounded in the most current and relevant information available. Stream-RAG provides fully transparent, grounded answers, complete with clear source IDs. You can inspect controller decisions and review technical traces for complete accountability and trust. Easily ingest and query your own private data, including PDFs, DOCX, or TXT files. Stream-RAG processes your proprietary information securely and without requiring an API key. Our system integrates live audio from your browser via Groq Whisper for instant transcription. This quickly generates a transcript for retrieval, leading to an immediate grounded answer. Our robust system efficiently manages 17 distinct evidence sections and 17 searchable chunks. This optimized indexing ensures consistently fast and highly accurate real-time retrieval. Stream-RAG delivers unmatched early retrieval, selective refinement, and evidence-grounded answers. It’s the powerful solution you need for your next-generation RAG applications. Send actual transcript fragments or replay JSONL to experience Stream-RAG yourself. Start building your cutting-edge RAG application for the hackathon today.