Work

ChatTuesday

RAG
FastAPI
pgvector
Python

Multimodal RAG chat system integrating LLMs with text-to-image and text-to-video diffusion models via FastAPI. Reduced generation latency by 30%, improved cross-modal coherence by 25% using pgvector. GagaMuller (Dublin, remote).

ChatTuesday multimodal RAG with text, image, and video generation

At GagaMuller (Dublin, remote) I built ChatTuesday, a multimodal RAG chat system that combines LLMs with text-to-image and text-to-video diffusion models. The API is built with FastAPI and uses pgvector for semantic search over text and media.

Results

  • 30% reduction in end-to-end generation latency through caching and batching.
  • 25% improvement in cross-modal coherence (text vs. generated image/video) via better retrieval and prompt design.

The stack serves as a single interface for conversational search and multimodal generation, with embeddings and metadata stored in PostgreSQL for fast retrieval.