Webinar

RAG WARS – Advancing AI: Enhancing LLMs and RAG for Improved Performance & Reliability

Don’t miss this REPLAY of our in-person event, RAG WARS – Advancing AI: Enhancing LLMs and RAG for Improved Performance & Reliability!

Explore advanced techniques to boost Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. Talks will cover structured outputs, function integration, data architecture, and strategies to reduce hallucinations.

In-Person Event

RAG on the Road: DC Area

Join us on November 15th from 9:00 AM – 2:00 PM EST!

📣 We are taking our popular RAG events on the road. Upskill and dive deep into advanced Retrieval Augmented Generation (RAG) design patterns.

We will offer a comprehensive single-day event, including strategies for decision makers, product owners, and AI developers aimed at helping you design enterprise-grade AI implementations in hours 🔥.

Agenda 🗓️

9:00am – 9:30am: Welcome Breakfast Reception 
9:30am – 11:30am: Keynotes with customers and partners on topics such as:

• RAG Deployment Challenges
• How to Adopt AI in Government
• FedRamp
• Vectara’s Roadmap

11:30am – 12:00pm: Lunch
12:00pm – 2:00pm: Breakouts with customers and partners on topics such as:

• Build vs. Buy Lab
• How to Build an AI System
• Agentic RAG
• Mitigating & Preventing Hallucinations

2:00pm – 3:00pm: 🤝 Networking Reception – Meet the Speakers and our Sponsors!

Webinar

Introducing Mockingbird: A High-Performance Generative Model for RAG

Mockingbird LLM is here, and it is bringing unrivaled accuracy to RAG workloads. As part of the Vectara Trusted GenAI Platform, Mockingbird provides users with generative responses and structured outputs with levels of performance and accuracy that are ideal for running RAG workloads. Vectara platform users can now use the full solution without dependencies on third-party generative services. This makes Mockingbird not only the perfect choice for RAG performance but also versatile enough to be deployed across a multitude of form factors.  

Join Sean Anderson (Head of Product Marketing) and Suleman Kazi (Software Engineer) as they explore several benchmarks that show the true power of the new model. You will get a view of the rigor put into making a generative LLM that enhances the performance of the entire RAG process with enhanced support for structured outputs and hallucination mitigation.

Webinar

Build Enterprise-Grade Generative AI Apps with Your Apache Nifi Data

Thousands of the largest and most secure enterprises use Apache NiFi for real-time data ingestion and cyber-security use cases. Did you know NiFi was originally built at the NSA to handle primarily unstructured data?

NiFi, at its foundation, is built for the data types needed by today’s GenAI Systems. The creators of NiFi have formed Datavolo which allows you to leverage your NiFi skills to rapidly and securely ingest all of your multimodal data into the world’s fastest time-to-market platform for GenAI Apps, Vectara. Learn how you can leverage your Nifi data to build enterprise-grade AI applications in a few hours with the power of the Datavolo/Vectara. Join Sam Lachterman (Field CTO, Datavolo) and Justin Hayes (Field Engineer, Vectara) in this webinar replay!

Webinar

Introducing the Factual Consistency Score: Your AI Evaluator

Recently, Vectara introduced an evolved version of its popular open-source Hughes Evaluation Model (HHEM), which detects the level of hallucinations in popular LLMs and in generated responses from those systems. It’s a calibrated score that helps developers evaluate hallucinations automatically. The new feature can be used by our customers to measure and improve response quality. The FCS can also be used as a visual cue of response quality shown to the end-users of RAG applications

The Factual Consistency Score is Vectara’s integration of the hallucination detection model into its generative AI platform. In this Webinar replay, Machine Learning Team Lead Forrest Bao will show us the new FCS score but in the Vectara UI and through the API.

In-person & Streaming Event

Deep Dive Into RAG Architectures

📣 Join the Vectara ML team and fellow industry peers for an evening of thought leadership talks 💡 and social networking 🥂 as we do a deep dive into the hottest topic in LLMs – Retrieval Augmented Generation (RAG) Architectures 🔥.

Webinar

Dive into Vectara Chat

Introducing Vectara Chat, a powerful new set of tools for developing an LLM-powered chatbot grounded in your own data. Vectara Chat introduces a revolution in chatbot technology, blending RAG, LLMs, and user-centric design to transform how businesses and individuals communicate. On top of the core RAG technology, Vectara chat offers chat history that incorporates previous chats into context for a more intelligent response. Head of Product Shane Connelly will take us through this exciting new product feature aimed at helping more chatbots reach production.

Webinar

GenAI Revolution: Master Data Ingestion with Airbyte & Vectara

 

 Overview of GenAI Data Ingestion Challenges

 Introducing Vectara and Airbyte Integration

  Setting up Airbyte and Vectara

  Interactive Q&A sessions

 

Webinar

First Look: New Features in Vectara 2024

Get a first glimpse of new enhancements of the Vectara platform aimed at improving Hybrid Search, decreasing hallucinations, and driving toward better relevance and making GenAI applications even easier to build. Head of Product Shane Connelly will take us through several exciting product updates to give you the full picture of the advancement of our GenAI platform.