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Vinkius

DataStax Astra DB Vector Connector for AI agents.

7 live capabilities

Query vector embeddings and manage NoSQL documents through natural conversation.

Live agent request DataStax Astra DB Vector / Connector

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AI Agent

Why people use DataStax Astra DB Vector

DataStax Astra DB Vector Vector Similarity for AI Agents

With this Connector, you just talk to your agent. You can ask it to find a specific JSON blob, count your records, or run a similarity search on your embeddings. It handles the heavy lifting, so you can stay focused on building your application instead of managing the database.

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

What Vinkius changes

You get a conversational interface for your entire Astra DB instance.

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

One account · 5,900+ Connectors

  1. Real-world use case 01

    RAG Context Retrieval

    An AI developer needs to find products similar to a user's description.

  2. Real-world use case 02

    Data Cleaning

    A data engineer notices some corrupted JSON.

  3. Real-world use case 03

    Rapid Prototyping

    A product manager wants to see how many users are in the system.

Complete set · 7capabilities

The complete DataStax Astra DB Vector capability set.

These are the exact actions your AI can choose when you ask it to work with DataStax Astra DB Vector.

Capability set01 / 02

01—04

4 capabilities in this set.

Part of 7 available through DataStax Astra DB Vector.

  1. 01 Capability

    List collections

    See every collection in your namespace. It helps you quickly orient yourself when you have dozens of tables to manage.

  2. 02 Capability

    Find documents

    Pull multiple records that match your specific NoSQL filters. Use this when you need to grab a batch of data for analysis.

  3. 03 Capability

    Find one document

    Grab a single JSON object from a collection. This is perfect for checking the details of a specific entry.

  4. 04 Capability

    Vector search

    Run an Approximate Nearest Neighbor search on your embeddings. This is the core capability for finding semantically related content.

Capability set02 / 02

05—07

3 capabilities in this set.

Part of 7 available through DataStax Astra DB Vector.

  1. 05 Capability

    Insert document

    Add new data to your Astra DB. You can include pre-generated vector keys for immediate use in similarity searches.

  2. 06 Capability

    Delete document

    Remove an entry from your collection. Use this to keep your database clean or remove outdated records.

  3. 07 Capability

    Count documents

    Get a quick tally of how many records are in a collection. It's the fastest way to check the scale of your data.

Set up in minutes

One URL. Then ask DataStax Astra DB Vector to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use DataStax Astra DB Vector 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_AqDRfth2dYqeDTcgeoWzkACu9uC1WOaTh5GDBWN7/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 DataStax Astra DB Vector, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable DataStax Astra DB Vector for the conversation.

Where the request belongs

Work DataStax Astra DB can move forward.

Built around the request

This is for the developer who's tired of switching tabs between their database console and their IDE. It's for the engineer who needs to query vector embeddings without writing complex boilerplate every single time.

01

AI Developer

Building RAG pipelines and need to pull context from vector embeddings without writing complex query logic.

02

Data Engineer

Debugging JSON anomalies and checking record counts across different collections through a chat interface.

03

Product Team Member

Inspecting unstructured vector data to see how search results behave for the end user.

04

Database Administrator

Managing collections and counting records without having to navigate the DataStax dashboard.

Build the capability set

Add more capabilities.

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

Browse Connectors
Couchbase (Vector & NoSQL) logo
01 7 capabilities

Couchbase (Vector & NoSQL)

Manage vector search and NoSQL via Couchbase. execute N1QL queries, perform KNN vector searches, and audit documents directly from any AI agent.

View Connector
MyScale (SQL Vector Database API) logo
02 6 capabilities

MyScale (SQL Vector Database API)

Manage MyScale vector databases via SQL. execute queries, perform vector searches, and manage indices directly from any AI agent.

View Connector
ClickHouse (Vector Search) logo
03 7 capabilities

ClickHouse (Vector Search)

Manage vector embeddings and SQL via ClickHouse. list databases, execute SQL, and perform high-speed vector searches directly from any AI agent.

View Connector
LanceDB (Serverless Vector DB) logo
04 6 capabilities

LanceDB (Serverless Vector DB)

Manage vectorized data via LanceDB. perform similarity searches, create tables, and manage multi-modal embeddings.

View Connector
MongoDB Atlas Vector Search logo
05 6 capabilities

MongoDB Atlas Vector Search

Manage vector storage via MongoDB Atlas. perform similarity searches, query MQL documents, and audit collections.

View Connector
Fauna (Serverless DB) logo
06 1 capability

Fauna (Serverless DB)

Execute FQL queries directly against your Fauna serverless database from any AI agent to manage collections, documents, and indexes.

View Connector

Bring your own AI

Change the model, client or framework. Keep DataStax Astra DB connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
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  • Cline
  • Zed
  • Continue
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  • Roo Code
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  • Chorus
  • 5ire
  • n8n
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  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about DataStax Astra DB.

The practical details behind the request, access and result.

Can I use DataStax Astra DB Vector to manage my NoSQL data?

Yes. You can use this Connector to find, insert, delete, and count NoSQL JSON documents in your Astra DB through a natural conversation with your agent.

How does DataStax Astra DB Vector help with RAG?

It allows your agent to perform vector similarity searches directly. This makes it much easier to retrieve relevant context for your RAG workflows without writing custom query code.

Can I insert new records into Astra DB using the AI?

Yes, you can ask your agent to insert new documents. It can even include pre-generated vector keys so the data is ready for similarity searches immediately.

Does DataStax Astra DB Vector support vector similarity?

Yes, that is a core feature. The Connector allows your agent to perform Approximate Nearest Neighbor (ANN) searches to find semantically related content.

Is it easy to connect DataStax Astra DB Vector to my agent?

It's very straightforward. You just need to provide your Astra DB API Endpoint, Namespace, and Application Token to get started.

Can I delete specific documents from my collection?

Yes, you can ask your agent to remove specific records from your collection to keep your database clean or remove outdated entries.

Can my AI agent do similarity searches across vector embeddings?

Yes. Ask the agent to find documents related to a specific vector array in your target collection. The agent natively passes the numerical array directly into Astra DB's ANN engine, instantly returning the top semantically matched documents.

Does this work like standard Cassandra or is it strictly vector-only?

Both. While it excels at vector searches, the integration fully supports standard NoSQL JSON documents. You can insert, find, count, and delete standard text documents using strict JSON filters just like regular database operations.

Can I switch seamlessly between different collections?

Absolutely. Just mention the target collection by name in your prompts, and the agent adapts flawlessly. If you forget which ones exist, you can instruct it to list all available collections within your default namespace anytime.

One connection away

Give your agent a direct line to DataStax Astra DB.

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

Explore every Connector No credit card required · Free tier available