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6986e00
docs(site): restructure quickstart as a hub of cards (RR-1240)
joshuadarron Jun 11, 2026
93a2397
chore(builder): drop docs:build from aggregate build (RR-1240)
joshuadarron Jun 11, 2026
c19ade8
fix(docs): remove navbar icon hover overlay; document system theme (R…
joshuadarron Jun 11, 2026
91e6d0b
fix(docs): strip duplicated <head><title> blocks site-wide (RR-1240)
joshuadarron Jun 11, 2026
2e44ed8
docs(site): add Evaluate pages + IDE Extensions overview; nav tweaks …
joshuadarron Jun 11, 2026
c5ea324
fix(docs): hide duplicate body title; stop card hover underline (RR-1…
joshuadarron Jun 11, 2026
f1577be
fix(docs): beat Infima specificity so side cards never underline on h…
joshuadarron Jun 11, 2026
a239912
fix(docs): tint navbar brand title to link color on hover (RR-1240)
joshuadarron Jun 11, 2026
c17e2a9
docs(site): reorder quickstart hub cards (RR-1240)
joshuadarron Jun 11, 2026
8e9f370
docs(client-typescript): title the SDK page "TypeScript" not "Node" (…
joshuadarron Jun 11, 2026
e6afba2
docs(site): author Concepts + flesh out WebSocket pages (RR-1240)
joshuadarron Jun 11, 2026
808fc85
docs(site): title-case nav tabs, drop Cursor/Windsurf, expand WebSock…
joshuadarron Jun 11, 2026
e2fb7c4
docs(site): fill spine leaf pages; theme the right-nav link color (RR…
joshuadarron Jun 11, 2026
7acc18e
fix(docs): color the right-nav TOC links in every state, not just act…
joshuadarron Jun 12, 2026
077e8b3
fix(docs): give TOC link override the Infima specificity hack so it w…
joshuadarron Jun 12, 2026
0bc8d67
fix(docs): only the active TOC link takes the link color (RR-1240)
joshuadarron Jun 12, 2026
e5e31ac
fix(docs): route the WebSocket page to /protocols/websocket (RR-1240)
joshuadarron Jun 12, 2026
474a63c
docs(site): review follow-ups for the docs UX batch (RR-1240)
joshuadarron Jun 12, 2026
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6 changes: 1 addition & 5 deletions apps/vscode/docs/index.md
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---
title: Overview
title: Introduction
sidebar_position: 1
---

<head>
<title>VS Code Extension - RocketRide Documentation</title>
</head>

<p align="center">
<img src="https://raw.githubusercontent.com/rocketride-org/rocketride-server/main/images/banner-vscode.png" alt="RocketRide for VS Code" width="900" />
</p>
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4 changes: 0 additions & 4 deletions apps/vscode/docs/installation.md
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---

<head>
<title>Installation - VS Code Extension - RocketRide Documentation</title>
</head>

## Installing the Extension

1. Open VS Code.
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4 changes: 0 additions & 4 deletions apps/vscode/docs/usage.md
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---

<head>
<title>Usage Guide - VS Code Extension - RocketRide Documentation</title>
</head>

## Creating a Pipeline

1. Right-click in the Explorer or click **+** in the RocketRide sidebar.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/accessibility_describe/doc.md
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---

<head>
<title>Accessibility Describe - RocketRide Documentation</title>
</head>

## What it does

Analyzes an image using Google Gemini Vision and produces a structured scene description optimized for blind and visually impaired users. Output covers environment type, hazards with positions, key objects, visible text, people, and navigation guidance — kept under 150 words by default.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/agent_langchain/doc.md
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---

<head>
<title>LangChain - RocketRide Documentation</title>
</head>

## What it does

Single-agent node using LangChain's `create_agent`. Receives a question, runs a tool-calling agent loop, and emits an answer.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/agent_rocketride/doc.md
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<head>
<title>RocketRide Wave - RocketRide Documentation</title>
</head>

:::note
This node is **experimental**.
:::
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4 changes: 0 additions & 4 deletions nodes/src/nodes/anonymize/doc.md
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---

<head>
<title>Anonymize - RocketRide Documentation</title>
</head>

## What it does

Scans text for sensitive entities (names, emails, phone numbers, organizations, etc.) using a local GLiNER NER model and replaces each detected character with a masking character. Text structure is preserved — only the entity spans are replaced.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/astra_db/doc.md
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---

<head>
<title>Astra DB - RocketRide Documentation</title>
</head>

## What it does

Vector store node backed by [DataStax Astra DB](https://docs.datastax.com/en/astra/astra-db-vector/). Stores embedded documents and retrieves them by semantic (vector) or keyword (BM25) search.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/atlas/doc.md
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---

<head>
<title>MongoDB Atlas - RocketRide Documentation</title>
</head>

## What it does

Vector store node backed by [MongoDB Atlas](https://www.mongodb.com/products/platform/atlas-vector-search). Stores embedded documents and retrieves them by semantic (vector) or keyword (text) search using Atlas Vector Search indexes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/audio_player/doc.md
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<head>
<title>Audio Player - RocketRide Documentation</title>
</head>

## What it does

Plays audio through the system's default output device in real time. Accepts audio lane payloads as container-format bytes (for example WAV/MP3, with MIME type) or video input (audio track extracted). Terminal node — no output lanes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/autopipe/doc.md
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---

<head>
<title>Parse/Process/Embed - RocketRide Documentation</title>
</head>

:::note
This is an **internal node**. It is wired automatically by the pipeline engine — most users will not add it manually.
:::
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4 changes: 0 additions & 4 deletions nodes/src/nodes/chroma/doc.md
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---

<head>
<title>Chroma - RocketRide Documentation</title>
</head>

## What it does

Vector store node backed by [ChromaDB](https://www.trychroma.com/). Stores embedded documents and retrieves them by semantic (vector) similarity search.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/db_clickhouse/doc.md
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---

<head>
<title>ClickHouse - RocketRide Documentation</title>
</head>

## What it does

ClickHouse node with two roles: pipeline node (natural-language queries via lanes) and tool node (agents call it directly). Connects over the native TCP protocol (default port 9000) via `clickhouse-driver`. This is a **query / read** node — it does not expose a pipeline ingestion (insert) lane (see [Ingestion](#ingestion)).
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4 changes: 0 additions & 4 deletions nodes/src/nodes/db_mysql/doc.md
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---

<head>
<title>MySQL - RocketRide Documentation</title>
</head>

## What it does

MySQL node with two roles: pipeline node (natural-language queries via lanes) and tool node (agents call it directly).
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4 changes: 0 additions & 4 deletions nodes/src/nodes/db_neo4j/doc.md
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---

<head>
<title>Neo4j - RocketRide Documentation</title>
</head>

## What it does

Neo4j node with two roles: pipeline node (natural-language questions → Cypher → results via lanes) and tool node (agents call it directly). Read-only — write operations are blocked by design.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/db_postgres/doc.md
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---

<head>
<title>PostgreSQL - RocketRide Documentation</title>
</head>

## What it does

PostgreSQL node with two roles: pipeline node (natural-language queries via lanes) and tool node (agents call it directly).
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4 changes: 0 additions & 4 deletions nodes/src/nodes/dictionary/doc.md
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<head>
<title>Dictionary - RocketRide Documentation</title>
</head>

## What it does

Reads text and uses an LLM to extract a glossary of domain-specific terms, acronyms, and company-specific vocabulary. Each extracted term is emitted as a separate document containing a `{"term": "...", "description": "..."}` JSON object.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/embedding_image/doc.md
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---

<head>
<title>Image Embedding - RocketRide Documentation</title>
</head>

## What it does

Generates vector embeddings from images using local vision models. Runs on the model server — no API key required. GPU-accelerated when available.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/embedding_transformer/doc.md
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---

<head>
<title>Transformer Embedding - RocketRide Documentation</title>
</head>

## What it does

Generates text embeddings using local sentence-transformer models. Runs on the model server — no API key required. GPU-accelerated when available.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/extract_data/doc.md
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<head>
<title>Data Extractor - RocketRide Documentation</title>
</head>

## What it does

Reads text or tables and uses an LLM to extract a structured set of fields you define. Results are accumulated across all chunks of a document — the `documents` lane emits one document per extracted row, while the `answers` lane emits the full consolidated table as a single answer.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/frame_grabber/doc.md
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---

<head>
<title>Frame Grabber - RocketRide Documentation</title>
</head>

## What it does

Extracts still frames from video using one of three modes: fixed interval, scene transition, or keyframe.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/image_cleanup/doc.md
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---

<head>
<title>Image Cleanup - RocketRide Documentation</title>
</head>

## What it does

Pre-processes images for OCR. Converts to grayscale, applies Otsu thresholding, deskews, and runs morphological cleanup to remove small noise in character shapes. Place this node before an OCR node when working with scanned or low-quality images.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llamaparse/doc.md
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---

<head>
<title>LlamaParse - RocketRide Documentation</title>
</head>

## What it does

Parses documents using the LlamaIndex cloud API. Handles PDFs, images, Word, Excel, and other formats. Extracts text and tables, including Markdown tables found in structured output.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_anthropic/doc.md
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<head>
<title>Anthropic - RocketRide Documentation</title>
</head>

## What it does

Connects Anthropic's Claude models to your pipeline. Used primarily as an `llm` invoke connection by agents, vector stores, database nodes, and other nodes that need an LLM. Can also be used directly in a pipeline via lanes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_bedrock/doc.md
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---

<head>
<title>Amazon Bedrock - RocketRide Documentation</title>
</head>

## What it does

Connects Amazon Bedrock-hosted models to your pipeline. Used primarily as an `llm` invoke connection by agents and other nodes that need an LLM. Can also be used directly via lanes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_deepseek/doc.md
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---

<head>
<title>DeepSeek - RocketRide Documentation</title>
</head>

## What it does

Connects DeepSeek models to your pipeline — either via the DeepSeek cloud API or locally through Ollama. Used primarily as an `llm` invoke connection by agents and other nodes that need an LLM. Can also be used directly via lanes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_gemini/doc.md
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---

<head>
<title>Gemini - RocketRide Documentation</title>
</head>

## What it does

Connects Google Gemini models to your pipeline. Used primarily as an `llm` invoke connection by agents and other nodes that need an LLM. Can also be used directly via lanes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_gmi_cloud/doc.md
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---

<head>
<title>GMI Cloud - RocketRide Documentation</title>
</head>

## What it does

Connects GMI Cloud-hosted models to your pipeline via an OpenAI-compatible API. GMI Cloud runs 100+ open-weight and proxied proprietary models on H100/H200 infrastructure. Used primarily as an `llm` invoke connection by agents and other nodes that need an LLM. Can also be used directly via lanes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_ibm_watson/doc.md
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---

<head>
<title>IBM Watson - RocketRide Documentation</title>
</head>

## What it does

Connects IBM WatsonX foundation models to your pipeline via the IBM Cloud API. Used primarily as an `llm` invoke connection by agents and other nodes that need an LLM. Can also be used directly via lanes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_minimax/doc.md
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---

<head>
<title>MiniMax - RocketRide Documentation</title>
</head>

## What it does

Connects [MiniMax](https://www.minimax.io/) models to your pipeline — either via the MiniMax cloud API or via a self-hosted OpenAI-compatible server (vLLM, SGLang, MLX, or Ollama). Used primarily as an `llm` invoke connection by agents and other nodes that need an LLM. Can also be used directly via lanes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_mistral/doc.md
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---

<head>
<title>Mistral AI - RocketRide Documentation</title>
</head>

## What it does

Connects Mistral AI models to your pipeline. Used primarily as an `llm` invoke connection by agents and other nodes that need an LLM. Can also be used directly via lanes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_ollama/doc.md
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---

<head>
<title>Ollama - RocketRide Documentation</title>
</head>

## What it does

Connects locally-hosted Ollama models to your pipeline. Used primarily as an `llm` invoke connection by agents and other nodes that need an LLM. Can also be used directly via lanes. No API key required — models run on your own hardware.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_openai_api/doc.md
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<head>
<title>OpenAI-Compatible API - RocketRide Documentation</title>
</head>

## What it does

Connects any OpenAI-compatible API endpoint to your pipeline. Use this node for providers that implement the OpenAI API spec (Featherless, Together, Groq, LM Studio, and others) but don't have a dedicated RocketRide node. Used primarily as an `llm` invoke connection by agents and other nodes that need an LLM, but can also be used directly via lanes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_perplexity/doc.md
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<head>
<title>Perplexity - RocketRide Documentation</title>
</head>

## What it does

Connects Perplexity AI Sonar models to your pipeline. Sonar models include real-time web search — responses are grounded in current web content rather than training data alone. Used primarily as an `llm` invoke connection by agents and other nodes that need an LLM. Can also be used directly via lanes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_qwen/doc.md
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<head>
<title>Qwen - RocketRide Documentation</title>
</head>

## What it does

Connects Alibaba Cloud Qwen models to your pipeline via the DashScope API. Used primarily as an `llm` invoke connection by agents and other nodes that need an LLM. Can also be used directly via lanes.
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4 changes: 0 additions & 4 deletions nodes/src/nodes/llm_vision_gemini/doc.md
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<head>
<title>Gemini Vision - RocketRide Documentation</title>
</head>

## What it does

Sends images to Google Gemini vision-capable models and returns text analysis. Accepts either a single image or a stream of image documents (e.g. from the frame grabber). Metadata such as frame number and timestamp is preserved on the `documents` output.
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