Couchbase llms.txt · AI Docs Browser · mdream

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# Couchbase llms.txt

Browse Couchbase documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools.

docs.couchbase.com/llms.txt

[Raw llms.txt](https://docs.couchbase.com/llms.txt) [Raw llms-full.txt](https://docs.couchbase.com/llms-full.txt)

Copy Markdown [](https://docs.couchbase.com/llms.txt)

llms.txt

Docs

.NET Analytics SDK Overview

Hello World

Querying Your Data

SDK Deployment

Reference Pages

Couchbase EFCore Provider Overview

Getting Started

Configuring the EF Core Couchbase DB Provider

Configuring the model with the EF Core Couchbase DB Provider

Querying with the EF Core Couchbase DB Provider

Saving Data

Release Notes

Compatibility Guide

API Reference

GitHub Source Code Repo

Introduction

Release Notes

Couchbase C++ SDK Overview

Hello World

Data Modelling, Durability, and Consistency

Querying Your Data

Distributed ACID Transactions

Failure Considerations

Best Practices

Managing Couchbase

SDK Deployment

Reference Pages

Overview

Introduction

New in 1.0

Getting Started

Configuration

Authentication

REST-Based Access

Sync

Administer

Product Notes

Introduction

New in 4.0

Migration

Android

C
.Net

Java

Hybrid

Objective-C

Swift

Introduction

New in 1.0

Databases

Encryption

Scopes and Collections

Documents

Blobs

Indexing

Data Conflicts

API&#160;References

Introduction to Couchbase Style

General Principles of Couchbase Style

Voice and Tone

A-Z Word List

Introduction

Getting Started

Configuration

Autonomous Operations

Monitoring

Secure Connections

Migration

Compatibility

Kubernetes

Release Notes

Go Analytics SDK Overview

Hello World

Querying Your Data

SDK Deployment

Reference Pages

Columnar Go SDK Overview

Hello World

Querying Your Data

SDK Deployment

Reference Pages

Couchbase Go SDK Overview

Hello World

Data Modelling, Durability, and Consistency

Querying Your Data

Distributed ACID Transactions

Failure Considerations

Best Practices

Managing Couchbase

SDK Deployment

Reference Pages

Java Analytics SDK Overview

Hello World

Querying Your Data

SDK Deployment

Reference Pages

Columnar Java SDK Overview

Hello World

Querying Your Data

SDK Deployment

Reference Pages

Couchbase Java SDK Overview

Hello World

Data Modelling, Durability, and Consistency

Querying Your Data

Distributed ACID Transactions

Failure Considerations

Best Practices

Managing Couchbase

SDK Deployment

Reference Pages

Introduction

Quickstart

Delivery Guarantees

Source Configuration Options

Sink Configuration Options

Monitoring

Couchbase Sample with Kafka Streams

Migration Guide

Compatibility

Couchbase Capella Support

Troubleshooting

Release Notes

Node.js Analytics SDK Overview

Hello World

Querying Your Data

SDK Deployment

Reference Pages

Columnar Node.js SDK Overview

Get Started

Querying Your Data

SDK Deployment

Reference Pages

Welcome to the Couchbase Pendo Style Guide

The Couchbase Pendo Voice

Guide Types

Docs A-Z Wordlist

Introduction

Release Notes

Python Analytics SDK Overview

Hello World

Querying Your Data

SDK Deployment

Reference Pages

Columnar Python SDK Overview

Hello World

Querying Your Data

SDK Deployment

Reference Pages

Couchbase Quarkus Java Extension

Getting Started

Compatibility Guide

API Reference

Couchbase Quarkus Release Notes

Ruby SDK Overview

Couchbase Rust SDK Overview

Hello World

Data Modelling, Durability, and Consistency

Querying Your Data

Distributed ACID Transactions

Failure Considerations

Best Practices

Managing Couchbase

SDK Deployment

Reference Pages

Couchbase Scala SDK Overview

Hello World

Data Modelling, Durability, and Consistency

Querying Your Data

Distributed ACID Transactions

Failure Considerations

Best Practices

Managing Couchbase

SDK Deployment

Reference Pages

SDK Extension Libraries

Distributed ACID Transactions

Field Level Encryption

Response Time Observability

Spring Data

Introduction

Download and API Reference

Getting Started (Scala)

Getting Started (PySpark)

Development Workflow

Working With RDDs

DataFrames and Datasets

Java API

Structured Streaming Support

Using the Spark Shell

Columnar Support

Databricks Support

Configuration

Release Notes

Introduction

<strong><em>New in 4.0</em></strong>

Data Modeling

Upgrade

Glossary

Introduction

Download Tableau

Enable Couchbase Analytics Service

Set up the Couchbase Tableau Connector

Tabular Views

Using Tableau with the Couchbase Tableau Connector

Connecting to Tableau Cloud using Tableau Bridge

Release Notes

Talend Connector

Introduction to UI and UX Style

General UI Copy Principles

What Does Good UX Content Look Like?

Action Buttons

Decision Dialogs

Documentation and External Resource Links

Error Messages

Progress Messages

Success Messages

Forms

Headings

Information Dialogs

Instruction Text

Lists and Menus

Empty States

Text Input Fields

Tooltips

Docs A-Z Wordlist

## What is Couchbase's llms.txt?

Couchbase publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Couchbase offers and where to find details.

Issues

Spec

1

Sections

226

Links

308.9 KB

Size

~79.1k

Tokens

Sections: Docs

## Add Couchbase Docs to Your AI Assistant

Select your tool to see how to add Couchbase's llms.txt as a documentation source.

Cursor

 Windsurf

 Claude Code

 ChatGPT

 Zed

 Copilot

1. 1

   Open any chat or composer panel
2. 2

   Type @Docs and select "Add new doc"
3. 3

   Paste the URL: https://docs.couchbase.com/llms.txt
4. 4

   Wait for the green dot (indexing complete)
5. 5

   Reference @Docs in chat when asking about Couchbase

Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.

## Spec Compliance 49 errors

## Frequently Asked Questions

Where is Couchbase's llms.txt file?

Couchbase publishes its llms.txt at https://docs.couchbase.com/llms.txt. This file provides a structured, markdown-formatted index of Couchbase's documentation that AI systems can consume to understand the project's APIs, guides, and references.

How do I use Couchbase's llms.txt with AI coding assistants?

Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Couchbase's documentation so it can provide better code suggestions and answers about Couchbase.

What does Couchbase's llms.txt contain?

Couchbase's llms.txt contains 1 sections and 226 documentation links in 308.9 KB (~79.1k tokens). Key sections include Docs.

How many tokens does Couchbase's llms.txt use?

The concise llms.txt index is approximately 79.1k tokens (308.9 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.

What is Couchbase?

This is the official documentation for Couchbase, a leading NoSQL distributed database platform. Couchbase's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with Couchbase.

Can I generate an llms.txt for my own project?

Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.

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## Related Tools

[<h3>llms.txt Generator</h3>Generate an llms.txt for your own project.](https://mdream.dev/llms-txt/couchbase/tools/llms-txt/generator) [<h3>llms.txt Validator</h3>Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/couchbase/tools/llms-txt/validator)

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