add_documents
Upload and process documents into a Qdrant collection using specified embedding services like OpenAI or Ollama. Define text chunk size and overlap for efficient semantic search integration.
Instructions
Add documents to a Qdrant collection with specified embedding service
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| chunkOverlap | No | Overlap between chunks (optional) | |
| chunkSize | No | Size of text chunks (optional) | |
| collection | Yes | Name of the collection to add documents to | |
| embeddingService | Yes | Embedding service to use | |
| filePath | Yes | Path to the file to process |
Input Schema (JSON Schema)
{
"properties": {
"chunkOverlap": {
"description": "Overlap between chunks (optional)",
"type": "number"
},
"chunkSize": {
"description": "Size of text chunks (optional)",
"type": "number"
},
"collection": {
"description": "Name of the collection to add documents to",
"type": "string"
},
"embeddingService": {
"description": "Embedding service to use",
"enum": [
"openai",
"openrouter",
"fastembed",
"ollama"
],
"type": "string"
},
"filePath": {
"description": "Path to the file to process",
"type": "string"
}
},
"required": [
"filePath",
"collection",
"embeddingService"
],
"type": "object"
}