Enhancing LLMs with Private Data: A Comprehensive Tutorial using Nexla, Pinecone & OpenAI
Operationalizing Large Language Models (LLMs) is the next big opportunity in AI. Any organization…
Tutorial
Browse step-by-step tutorials for building pipelines, connecting systems, and implementing AI agent data infrastructure with Nexla.
Send Data from Databricks to Databases
Challenge Databricks is a cloud data platform built to store, process, and analyze big data…
How to Set Up and Modify Rules In Nexla
Challenge When data is collected from a variety of sources, it arrives in different formats,…
How to Connect JIRA to Zendesk Support
Challenge Zendesk Suite is an emerging favorite for many companies this year as it provides…
How to Automatically Load Data from an Email into Salesforce
Challenge Data comes in from many sources, and one of the most common is through…
How To Flatten Data
JSON data represents data as a collection of key-value pairs, where the keys are strings…
Build Real-Time Contact Flows with Complete CRM Data
Use Nexla to set up real-time, configurable, scalable flows of prospect or deal data between…
How To Map Custom Field Names to Labels in JIRA
JIRA is a popular tool used by many software organizations to manage requirements, bugs, issues,…
How to Automate Partner Onboarding
The Challenge Onboarding partners can be one of the largest bottlenecks for large…
How to Maintain Data Quality for Real-time Data Flows
Data quality is the basis of smooth operations and reliable outcomes of analytical algorithms, AI,…
How to Create and Share Static and Dynamic Lookups
Follow along with today’s post as a video. Today we’re covering how to use Nexla’s…
Sharing Custom Data Transforms
Nexla makes it easy to create custom transforms with Python, Regex, JavaScript, or JSON and…
The Data Layer Your AI Is Missing
Connect, contextualize, and govern enterprise
data across 1000+ systems in real time.
