Teneo RAG Demo

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

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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.

Introducing Teneo Copilot

Teneo Copilot allows you to use any LLM to generate entries into your Teneo solution. Effortlessly create new entries and responses using Copilot's user-friendly interface, speeding up your workflow and enhancing your development skills.

Generate Classes

Generate Responses

Create Entities

Add Your Own LLM

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

Access The Teneo Rag Tutorial

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

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