Make GenAI Data
Fresh and Searchable with Nexla and Pinecone
Get practical advice on how to make your data searchable and ensure data freshness with data integration to and from Pinecone using Nexla’s data integration platform.
Join Nexla AI & Pinecone Data solution experts for a session on building data pipelines to and from Pinecone’s vector database. Gain practical tips to ensure your data is fresh and searchable.
In this Tech Talk session, we’ll explore common use cases, challenges, and solutions for making enterprise data more searchable – and ensuring data freshness. Discover how Nexla’s Retrieval Augmented Generation (RAG) capabilities streamline data flows, optimizing AI performance and providing deeper insights for advanced applications.
What you’ll learn:
- How to move data to and from Pinecone and make it searchable, in any format including both structured and unstructured data
- How to streamline and simplify your data integrations in order to scale data pipelines and ensure data freshness
- How you can use Nexla to build a no-code RAG workflow with context enrichment and metadata filtering
- How to leverage Nexla’s chatbot for your RAG workflow
The live product demo includes:
- Introduction to Nexla and Pinecone’s roles in data integration and AI model development.
- Demonstrations of direct data integration methods and strategies for diverse data sources.
- Examples showcasing Nexla’s RAG capabilities and their impact on AI performance and insights.
Cory is anexperienced custpmer and partner success leader, with a focus on empowering teams to drive business results and exceed performance standards. He also specializes in relationship building with internal and external stakeholders. In addition to his successful career in tech, Cory is a US Navy veteran.
Amey is a seasoned software engineer and engineering leader, currently leading Nexla’s AI initiatives. He previously spent time on the engineering teams at Actively, Nuna, and Google. His focus is to build fast things while having fun.