> ## Documentation Index
> Fetch the complete documentation index at: https://arivu.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# Introduction
> Welcome to the Arivu Documentation
## What is Arivu?
Arivu is an open-source framework designed for building autonomous database agents. It bridges the gap between raw data warehouses and large language models (LLMs) by offering a dual-layer approach:
1. **A Powerful Python SDK**: Allows engineers to orchestrate text-to-SQL pipelines, hook up custom agents, and seamlessly inject memory layers.
2. **A Sleek Dashboard UI**: A Next.js-based no-code observability platform designed for teams to instantly connect dialects, select cloud models, execute conversational prompts, and inspect pipeline execution latency.
## Explore
Explore your data with a beautifully crafted, theme-aware user interface.
Embed Arivu directly into your own applications using our Python SDK.
Connect Arivu directly to Claude Desktop using the Model Context Protocol.
Understand how Arivu persists sessions, traces, and feedback signals.
## Highlights
Arivu automatically detects tabular data and generates interactive, theme-aware charts using Thesys C1.
If the LLM generates invalid SQL, the `query_verifier` node automatically loops back and corrects the syntax before execution.
Destructive operations (like `DROP` or `DELETE`) are flagged by the pipeline and safely paused until an admin explicitly approves them.
Repeated queries are instantly served from a TTL cache, bypassing the LLM layer completely for lightning-fast responses.
