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Vanna 2.0

Vanna 2.0

Build Agents Your Users Can Actually Use

softwareAI Code AssistantsAISQLText-to-SQL

What is Vanna 2.0?

Vanna 2.0 is an open-source SQL Agent framework that lets users query company systems of record using natural language. It supports multiple databases and LLM providers, enables multi-turn conversations, and includes access controls, helping organizations reduce time writing SQL and make data insights more accessible.

Key Features of Vanna 2.0

Open source
Multi-database support
Multi-turn conversations
Access controlled
Works with any LLM provider and database
Natural language querying
Copy-paste configuration code

Use Cases for Vanna 2.0

1

Self-service data querying

Allow non-technical users to ask questions of company databases in natural language.

2

Faster insights

Reduce time spent writing SQL and enable more time generating insights.

3

Enterprise data access

Let users query all company systems of record with access controls.

How to use Vanna 2.0?

1

Choose your stack

Select your desired LLM provider and database.

2

Get configuration code

Use the copy-paste ready configuration code from the website.

3

Build and deploy your SQL agent

Deploy Vanna as an open-source SQL agent for your users.

Pros & Cons of Vanna 2.0

Pros

  • Open source framework
  • Works with any LLM provider and database
  • Multi-turn conversation support
  • Access-controlled querying
  • Empowers non-SQL-expert users to interact with data
  • Copy-paste configuration to get started quickly

Cons

  • Setup likely requires integration and configuration
  • No pricing or deployment details visible on the landing page
  • May require careful access control setup for enterprise use

Frequently Asked Questions

What is Vanna 2.0?

Vanna 2.0 is an open-source SQL agent framework that allows users to query databases using natural language.

Can Vanna work with existing databases and LLMs?

Yes, Vanna is designed to work with any LLM provider and database.

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About the Product

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Target AudienceData teams, business users, and enterprises looking to make database access easier for non-SQL experts.

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Tags

AISQLText-to-SQLOpen SourceDataNatural Language

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