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 for American businesses. With expertise in Generative AI, NLP, and intelligent system design, I provide AI consulting to help US companies unlock their full potential. I specialize in HIPAA-compliant healthcare AI solutions, enterprise automation for Fortune 500 companies, and cutting-edge AI systems for Silicon Valley startups.
🕐 Working Hours: Available during EST/PST business hours with flexible scheduling for urgent projects. Remote collaboration across all US time zones.
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.
Bank-grade encryption, HIPAA compliance, and zero-trust architecture protect your sensitive data.
Production-tested systems with failover redundancy ensure your AI never sleeps.
Cloud-native architecture scales from 100 to 10M+ users without breaking a sweat.
Committed to delivering state-of-the-art AI solutions that push the boundaries of what's possible for American businesses. Every project is an opportunity to innovate and create meaningful impact across the United States.
Discover how my AI consulting expertise can be applied to solve complex challenges and drive innovation for American 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 for American businesses.
Leverage OCR, OpenCV, and web scraping for automated data extraction from documents and websites, transforming raw data into actionable insights for US enterprises.
Built bespoke AI agents using frameworks like CrewAI and LlamaIndex to automate complex tasks, streamline workflows, and enhance operational efficiency for American companies.
Implemented real-time speech-to-text, text-to-speech, and transcription services for applications in accessibility, content creation, and voice-controlled systems for US businesses.
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 for American businesses
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.