Ingest Real-Time Data into LLMs

Ingest and process continuous data streams from multiple sources, and generate real-time data embeddings. These embeddings update a vector database continuously, supporting GenAI models in tasks such as text generation, image synthesis, or code generation.

Process real-time data streams to dynamically create tailored prompts for GenAI models. This allows for the real-time generation of personalized content, images, or other outputs, ensuring relevance to the current context and user needs.

Ingest and process multiple real-time data streams of different modalities (text, images, audio, video, etc.), fusing them together to create rich, multi-modal inputs for GenAI models, enabling more context-aware and comprehensive generation tasks.