Multimodal AI Assistant
An AI assistant capable of working with documents, images, and video content.
- Year
- 2026
- Role
- AI Application Development & Multimodal RAG
- Stack
OpenAI APIs
LangChain
ChromaDB
RAG
Overview
A multimodal AI application designed to let users interact with different types of content through a unified conversational interface.
The project explored how LLMs, retrieval pipelines, and content-specific processing can be combined to create richer AI interactions.
Features
- PDF understanding
- Image-based interaction
- Video content processing
- Conversational question answering
- Semantic retrieval
- LLM-powered responses
Challenges
Different media types require different ingestion and processing strategies. The challenge was creating a consistent experience while preserving useful context from each source.
Solutions
The application combines LangChain, OpenAI APIs, and ChromaDB with content-specific processing pipelines to convert different sources into information that can be retrieved and used during conversations.