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Vector Database

AI

Store and query vector embeddings using Pinecone, Weaviate, or Qdrant. Perfect for semantic search and RAG.

Available Actions
upsertquerydeletedescribe
Input Schema
{
  "type": "object",
  "required": [
    "namespace"
  ],
  "properties": {
    "top_k": {
      "type": "number"
    },
    "vectors": {
      "type": "array"
    },
    "namespace": {
      "type": "string"
    }
  }
}
Output Schema
{
  "type": "object",
  "properties": {
    "matches": {
      "type": "array"
    },
    "namespace": {
      "type": "string"
    }
  }
}
Quick Start

API Endpoint

POST /api/execute/vector-database

cURL Example

curl -X POST \
  https://api.nulayers.com/execute/vector-database \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"action": "upsert"}'
Integration

Get your API key from the dashboard to start using this tool in your AI applications.