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Vinkius

GroundX Connector for AI agents.

12 live capabilities

Query private enterprise data and manage RAG pipelines from your AI client.

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AI Agent

Why people use GroundX

GroundX for Enterprise Knowledge Management

With GroundX, you just point your agent at a bucket. It finds the specific chunk it needs, saving your context window for the actual conversation.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

It turns your static files into a dynamic, searchable brain for your AI agent.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Searching internal support manuals

    A support lead asks the agent about a refund policy.

  2. Real-world use case 02

    Updating agent knowledge from a website

    A product manager wants the agent to know the latest specs.

  3. Real-world use case 03

    Querying a company wiki

    An employee asks about vacation days.

Complete set · 12capabilities

The complete GroundX capability set.

These are the exact actions your AI can choose when you ask it to work with GroundX.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 12 available through GroundX.

  1. 01 Capability

    Create bucket

    Set up a new container for a specific set of data or project. This keeps your different data types from getting mixed up.

  2. 02 Capability

    Create group

    Make a new category to group your buckets more logically. It helps organize large amounts of data into manageable themes.

  3. 03 Capability

    Get customer info

    Pull account details and customer information from your records. This lets your agent provide personalized answers based on user data.

  4. 04 Capability

    Get ingest status

    Check if your latest data import is finished or still processing. This ensures your agent does not try to search for data that is not ready yet.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 12 available through GroundX.

  1. 05 Capability

    Ingest documents

    Upload files from local paths or URLs into your GroundX repository. It is the best way to move static files into your searchable index.

  2. 06 Capability

    Ingest website

    Automatically crawl and index every page on a specific website. This keeps your agent updated on external web resources without manual updates.

  3. 07 Capability

    List buckets

    See all the different containers where your documents are stored. Use this to get a high-level view of your data organization.

  4. 08 Capability

    List content

    View a list of every document you have already ingested. This helps you confirm that your files are actually in the system.

Capability set03 / 03

09—12

4 capabilities in this set.

Part of 12 available through GroundX.

  1. 09 Capability

    List groups

    Browse the various categories you have created to group your buckets. It helps organize large amounts of data into manageable themes.

  2. 10 Capability

    List workflows

    See all the active RAG workflows currently running in your account. Use this to monitor your active data pipelines.

  3. 11 Capability

    Search content

    Run a semantic search to find relevant information across your entire data set. This is how your agent finds the best answers to your questions.

  4. 12 Capability

    Search documents

    Find specific files based on their metadata or the text inside them. Use this when you need to narrow down your search to specific files.

Set up in minutes

One URL. Then ask GroundX to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use GroundX from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_mAVynUnnXcCNvXWpgEW86XlUhDZSOLIyZ2eNgeMy/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it GroundX, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable GroundX for the conversation.

Where the request belongs

Work GroundX can move forward.

Built around the request

This is for the knowledge manager who is tired of manual data entry and the data engineer who needs a reliable way to feed private data into an agent without managing the chunking logic.

01

Knowledge Manager

Organizes internal company wikis and documentation into searchable buckets for team use.

02

Data Engineer

Builds and monitors RAG pipelines to ensure AI agents have accurate access to enterprise data.

03

Support Operations Lead

Connects customer support manuals to an AI agent to help resolve tickets faster.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
LlamaIndex (AI Data Framework & RAG) logo
01 6 capabilities

LlamaIndex (AI Data Framework & RAG)

Query and manage RAG pipelines via LlamaIndex. execute natural language searches, audit indexed files, and monitor data pipelines.

View Connector
R2R logo
02 6 capabilities

R2R

Equip your AI with direct access to your R2R engine. execute vector searches, run precise RAG queries, and manage your documents.

View Connector
Linkup (AI Search & RAG) logo
03 2 capabilities

Linkup (AI Search & RAG)

Power your AI agents with real-time web search via Linkup. execute semantic queries and extract RAG-ready content.

View Connector
Amazon Bedrock KB logo
04 6 capabilities

Amazon Bedrock KB

Connect your AI agent to AWS Bedrock Knowledge Bases. execute semantic searches, managed RAG, and sync vector datasources natively.

View Connector
Vertex AI Search logo
05 7 capabilities

Vertex AI Search

Search across your enterprise data using Google's semantic search and generative AI grounding.

View Connector
watsonx Discovery logo
06 6 capabilities

watsonx Discovery

Search and analyze complex data with AI-powered insights on IBM watsonx Discovery. the cognitive search engine.

View Connector

Bring your own AI

Change the model, client or framework. Keep GroundX connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about GroundX.

The practical details behind the request, access and result.

How does GroundX help my AI find info?

GroundX indexes your private files so your AI agent can perform a semantic search. Instead of reading every file, the agent only pulls the most relevant chunks of information to answer your specific question.

Can I use GroundX for my internal wiki?

Yes, that is one of the primary use cases. You can ingest your wiki pages and organize them into buckets so your agent can act as an internal knowledge expert.

Does it work with my existing PDFs?

Yes, you can upload local PDFs using the ingestion capabilities. GroundX will handle the indexing so your agent can query the content of those documents easily.

How do I keep my data organized?

You can create different buckets for different topics, like 'HR', 'Technical', or 'Sales'. You can also create groups to organize those buckets into broader categories.

Is it hard to set up GroundX?

It is designed to be straightforward. You connect your account, create buckets for your data, and start ingesting your sources. Your AI agent handles the rest of the retrieval logic.

Can it search my company website?

Yes, the capability includes a specific function to crawl and ingest content from a website URL, turning your public-facing site into a searchable knowledge base for your agent.

How do I query my indexed documents?

Simply ask the AI agent to search for a specific term or concept, and it will query the GroundX API to retrieve the most relevant textual chunks.

Can I manage data buckets from the agent?

Yes, you can list your active buckets, check their document count, and verify index status.

Does it support adding new files to a bucket?

Currently, the integration focuses on querying the optimized indexes. File ingestion should be managed through the GroundX dashboard or a separate pipeline.

One connection away

Give your agent a direct line to GroundX.

Connect GroundX once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available