Remove Database Remove Demo Remove SQL
article thumbnail

Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

Flipboard

These tables house complex domain-specific schemas, with instances of nested tables and multi-dimensional data that require complex database queries and domain-specific knowledge for data retrieval.

SQL 152
article thumbnail

What Is a Lakebase?

databricks

Get a Demo DATA + AI SUMMIT JUNE 9–12 | SAN FRANCISCO Data + AI Summit is almost here — don’t miss the chance to join us in San Francisco! Modern development workflow : Branching a database should be as easy as branching a code repository, and it should be near instantaneous. REGISTER Ready to get started?

Database 207
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Introducing Agent Bricks: Auto-Optimized Agents Using Your Data

databricks

Get a Demo DATA + AI SUMMIT JUNE 9–12 | SAN FRANCISCO Data + AI Summit is almost here — don’t miss the chance to join us in San Francisco! REGISTER Ready to get started? This approach democratizes agent development, allowing domain experts to contribute directly to system improvement without deep technical expertise in AI infrastructure.

Analytics 331
article thumbnail

Introducing Databricks One

databricks

Get a Demo DATA + AI SUMMIT Data + AI Summit Happening Now Watch the free livestream of the keynotes! Join now Ready to get started? 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

article thumbnail

MongoRAG: Leveraging MongoDB Atlas as a Vector Database with Databricks-Deployed Embedding Model and LLMs for Retrieval-Augmented Generation

Towards AI

Retrieval Augmented Generation generally consists of Three major steps, I will explain them briefly down below – Information Retrieval The very first step involves retrieving relevant information from a knowledge base, database, or vector database, where we store the embeddings of the data from which we will retrieve information.

article thumbnail

Launch HN: Chonkie (YC X25) – Open-Source Library for Advanced Chunking

Hacker News

We also offer hosted and on-premise versions with OCR, extra metadata, all embedding providers, and managed vector databases for teams that want a fully managed pipeline. or book a demo: https://cal.com/shreyashn/chonkie-demo. 200k+ tokens) with many SQL snippets, query results and database metadata (e.g.

article thumbnail

5 Reasons Why SQL is Still the Most Accessible Language for New Data Scientists

ODSC - Open Data Science

Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL. But why is SQL, or Structured Query Language , so important to learn? Let’s start with the first clause often learned by new SQL users, the WHERE clause.

SQL 98