By the end of the year 2025, I have learned more about Advance RAG chatbots !
AI systems are way more advanced now than we think!
From providing us the Results with Real time Data to working with images and video
Here's few things you need to know about RAG chatbot -
for new learners,
A RAG(Retrieval-Augmented Generation) chatbot is an AI system that first finds relevant information from documents, images, or the web, and then uses that information to give clear, accurate answers in natural language.
Data can be Multimodal, hybrid, public and private; As 2025 is more about using complex text, images, videos, document and everything to make our answers accurate
I really love how sound and video search are becoming so good and so common.
Audio-based RAG feels very natural to me, it actually feels like talking to a human. must check Wispr Flow and ChatGpt😅
User Interface (UI)- web app(React/Nextjs), mobile app, Slack .
I have seen Microsoft teams has copilot in it. Google has AI Mode
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Embedding Model - Converts user queries and documents into vector embeddings(Numbers) like text-embedding-3-large on azure
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Knowledge Base / Document Store - add all your documents there, it could be Microsoft Azure blob storage or any db
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Azure video indexer, OpenAI wishper model, Azure Speech for multimodal Audio , video conversion
Azure cognitive services, Microsoft foundry, great way to explore
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Vector Database (Retriever) and retriever Model
like postgres Neon , postgres on Azure and Pinecone and services and LLM like Azure AI search with Azure OpenAI models
it all Searches and retrieves the most relevant documents using similarity search or RAG Fusion.
in the end we get human like response combined the user query and our custom prompt with retrieved context into a structured response.
✨ Why these RAG still matter after services like ChatGpt and Gemini?
Because RAG chatbots retrieve knowledge from private, federated, and confidential documents, and because models and prompts can be customized at any time, they make AI more trustworthy and enterprise-ready.
👉 We can use these chatbots for -
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Financial assistants for customers and internal teams
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Medical RAG assistants for doctors, staff, and general management queries
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Enterprise-grade, trusted AI for employees and vendors