Think Data Analysis • Chat Options

Welcome: I've set up three types of chats to test different options. Below are buttons for RAG Chat (answers grounded in documents I've indexed) and Web Search Chat (fresh information from the public web) and RAG with Memory.

RAG Chat: Best for policy docs, playbooks, slide decks, or any internal materials you’ve indexed.
Web Search Chat: Best for news, pricing, announcements, and anything that changes often.
RAG Chat with Memory: RAG solution with in-memory conversational storage to allow follow ups.

Custom AI Chat Solution with RAG, Web Search and Memory

AI Chat

Additional details can be found on Medium:

Building a RAG and Web Search Chatbot (v3)
Developing an Azure VM RAG solution

Server status

API: checking… Indexed chunks: —

Current index: “AI for Life 100+ Ways to Use Artificial Intelligence to Make Your Life Easier, More Productive…and More Fun” and
"AI for Teaching - A Practical Guide to a New Era of Human Learning"

Choose a chat mode

RAG Chat (Documents)

Uses your indexed documents as context. Great for answering questions based on internal knowledge.

Open RAG Chat

Web Search Chat (Live)

Pulls recent information from the web. Ideal for current events or fast-moving topics.

Open Web Search Chat + Memory

RAG Chat with Memory (Follow-ups)

Same RAG grounding, plus lightweight conversation memory for follow-ups referencing previous answers.

Open RAG + Memory Chat