I will built multi model rag

I will build a Multi-Model Retrieval-Augmented Generation (RAG) system tailored to your needs.

With this system, you can:

Process text PDFs with simple RAG

Use custom embeddings and prompts for Custom RAG

Keep persistent local memory for faster retrieval

Extract and retrieve information from images and scanned PDFs (OCR RAG)

Query knowledge graphs and structured data with Graph RAG

Maintain short-term session memory

Enable agent-to-agent (A2A) communication for collaborative AI workflows

Features:

• Streamlit-based interactive UI
• Cloud-safe FAISS or vector DB memory integration
• Automatic chunking & embedding of documents
• Supports large PDFs (up to 30 MB) and image-based content
• Modular design: you can extend the system with custom RAG pipelines
• Secure and scalable for local or cloud deployment

Whether you want a simple text RAG or a complex multi-agent system, I will deliver a fully functional, ready-to-use system.

Gig Packages (Optional)

PackageFeaturesDeliveryBasicSimple RAG for text PDF 3 daysStandardCustom RAG + Local Memory RAG5 daysPremiumFull Multi-Model RAG (OCR, Image, Graph, A2A)710 days

Why Choose Me?

• Hands-on experience with Python, Streamlit, FAISS, and AI/ML pipelines