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Improve your RAG application response quality with real-time structured data

databricks

Retrieval Augmented Generation (RAG) is an efficient mechanism to provide relevant data as context in Gen AI applications. Most RAG applications typically use.

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From Unstructured to Structured Data with LLMs

KDnuggets

Learn how to use large language models to extract insights from documents for analytics and ML at scale. Join this webinar and live tutorial to learn how to get started.

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Fast Analytics On Semi-Structured And Structured Data In The Cloud

Data Engineering Podcast

Summary The process of exposing your data through a SQL interface has many possible pathways, each with their own complications and tradeoffs. One of the recent options is Rockset, a serverless platform for fast SQL analytics on semi-structured and structured data.

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Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data

KDnuggets

The article highlights various use cases of synthetic data, including generating confidential data, rebalancing imbalanced data, and imputing missing data points. It also provides information on popular synthetic data generation tools such as MOSTLY AI, SDV, and YData.

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Harnessing the Power of Knowledge Graphs: Enriching an LLM with Structured Data

Towards Data Science

A step-by-step guide to creating a knowledge graph and exploring its potential to enhance an LLM Continue reading on Towards Data Science »

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Smart Schema: Enabling SQL Queries on Semi-Structured Data

Rockset

In this blog post, we show how Rockset’s Smart Schema feature lets developers use real-time SQL queries to extract meaningful insights from raw semi-structured data ingested without a predefined schema. This is particularly true given the nature of real-world data. In NoSQL systems, data is strongly typed but dynamically so.

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Building a SQL Development Environment for Messy, Semi-Structured Data

Rockset

We love SQL — our mission is to bring fast, real-time queries to messy, semi-structured real-world data and SQL is a core part of our effort. Why build a new SQL development environment? A SQL API allows our product to fit neatly into the stacks of our users without any workflow re-architecting.