Building a RAG chatbot for companies to complement the power of LLMs with their proprietary data
Many companies have a lot of proprietary data and are looking at ways to leverage that data using AI. As an AI framework, RAG retrieves factual information from an internal database/ company’s proprietary data to anchor large language models (LLMs) in the most precise and current data, providing users with insights into the latest internal data complemented by an LLM’s extensive training on external data.
Tools needed for building a simple RAG chatbot for Proof of Concept Experiments
LlamaIndex or HuggingFace: to be able to access open source LLMs by using an access code
Colab - This browser-based IDE from Google is not only great for collaboration but also is Zero Configuration and with Free Access to GPUs and TPU (click Runtime - change runtime type)
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