Teneo RAG Demo
Deploy Your LLM Chatbot and Voicebot With Retrieval Augmented Generation (RAG), Foundation Models and Vector Search
Try it Now!
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.
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
Access The Teneo Rag Tutorial
Get a bespoke tutorial and get up and RAG in only 4 hours!
Try it Now!
Get Your Personalized Demo
Fill out the form below and our team will get in touch with you shortly.