Multimodal RAG Systems
Explore advanced techniques for building RAG systems that process both text and images using CLIP, ColPali, and more.
- CLIP + Pinecone Implementation
- ColPali Vision-Based RAG
- Multimodal Embeddings
I'm Muaz Ashraf - your technical partner in overcoming AI and automation challenges in the Pakistani market. With deep understanding of Pakistan's emerging tech landscape and expertise in Generative AI, NLP, and intelligent system design, I provide AI consulting to help Pakistani businesses unlock their full potential. Let me navigate you through the complexities of AI implementation while we conquer technical barriers and push your business beyond conventional boundaries.
My expertise and Projects includes Chatbots, RAG, Agentic Chatbots, Multimodal Chatbots, Twilio, Voice agent, Eleven Labs and working extensively with technologies like LlamaIndex, LangChain, Hugging Face and Multi-Agent frameworks like Agno, Crewai. MCP. OpenCV, OCR, Web-Scraping, speech to text, text to speech, Realtime transcription, LLMs, Vector Databases, Graph Databases.
Committed to delivering state-of-the-art AI solutions that push the boundaries of what's possible. Every project is an opportunity to innovate and create meaningful impact.
Discover how my AI consulting expertise can be applied to solve complex challenges and drive innovation for Pakistani companies with LlamaIndex and other cutting-edge tools.
Developed advanced conversational AI using RAG, LLMs, LlamaIndex, and LangChain for automated customer support, information retrieval, and personalized user experiences.
Leverage OCR, OpenCV, and web scraping for automated data extraction from documents and websites, transforming raw data into actionable insights.
Built bespoke AI agents using frameworks like CrewAI and LlamaIndex to automate complex tasks, streamline workflows, and enhance operational efficiency.
Implemented real-time speech-to-text, text-to-speech, and transcription services for applications in accessibility, content creation, and voice-controlled systems.
Implemented Multimodal RAG Using Pinecone and Clip Model for embed Image and Text and chat with them showing relevent text and Image
Implemented Custom MCP Server Using Python and Flask for GitHub Actions, PRD Generation, and Fireflies Transcription
Deep dive into cutting-edge AI technologies and implementations
Explore advanced techniques for building RAG systems that process both text and images using CLIP, ColPali, and more.
Master cutting-edge RAG optimization strategies including ranking, weighting, and self-correction mechanisms.