Teneo RAG Demo

Deploy Your LLM Chatbot and Voicebot With Retrieval Augmented Generation (RAG), Foundation Models and Vector Search

What You’ll Learn

LLMs are disrupting the way we interact with information, from internal knowledge bases to external, customer-facing documentation or support.

In this bespoke tutorial, we will cover how Teneo is uniquely positioned to help you build your own chat or voice bot using Retrieval Augmented Generation (RAG) and deploy a real-time Q&A bot using Teneo´s capabilities. We will leverage your LLM to answer our questions, using the TLML (Teneo Linguistic Modeling Language) Model for prompt tuning and better accuracy.

Visual showing Teneo RAG in action, where a user wants to create a refund

In 4 hours, you will deploy RAG:

Quickly build a RAG-centric bot with Teneo Deal with LLM hallucinations Prevent prompt injection/hacking Leverage FrugalGPT techniques with Teneo to boost accuracy while lowering costs up to 98% Create a dashboard that presents the value of Teneo RAG Deploy a real-time model using RAG and providing augmented context in the prompt.

Build and Enhance AI Agents with Teneo

Teneo’s AI Agent Builder offers an intuitive, easy-to-use interface to visually compose, manage, and deploy AI agents using reusable skills, tools, goals, and LLMs. Paired with Teneo Copilot, you can seamlessly generate entries and responses; accelerating development while ensuring scalability, compliance, and adaptability for global enterprise needs.

Generate Classes

Generate Responses

Entities

Add LLMs

Personalities

Goals

Annotators

GIF showing how to generate Example Training data and Example Test data based on a description in Teneo.

GIF showing how to generate Entities of cities in Europe in Teneo based on a description

Access The Teneo Rag Tutorial

Get a bespoke tutorial and get up and RAG in only 4 hours!