What is RAG (Retrieval-Augmented Generation)?

RAG combines retrieval of relevant information from knowledge bases with generative AI to provide accurate, contextual responses. It enables AI systems to access up-to-date information beyond their training data.

How much does custom AI chatbot development cost?

Custom AI chatbot development costs vary based on complexity, features, and integration requirements. Basic chatbots start from $5,000, while enterprise-grade RAG systems range from $15,000-$50,000+.

LangChain vs LlamaIndex: Which is better?

LangChain excels at complex workflows and agent chains, while LlamaIndex specializes in data indexing and retrieval. Choose LangChain for multi-step processes, LlamaIndex for document-heavy applications.

What are the benefits of Multimodal RAG?

Multimodal RAG processes text, images, and documents together, enabling comprehensive understanding of mixed-media content. It's ideal for technical documentation, medical records, and visual data analysis.

Blog - AI Insights & Tutorials

ColPali Vision-Based RAG

ColPali (Column-Palette) represents a paradigm shift in document retrieval, treating documents as visual entities rather than just text containers. This blog explores how ColPali is revolutionizing multimodal RAG in 2025.

📖 10 min read 📅 2025-07-01

AI Blogs & Insights

Expert Knowledge on RAG, Multimodal RAG, AI Agents, and more

ColPali Vision-Based RAG