Type: vector.chroma.IndexAggregatedText
Namespace: vector.chroma
Description
Index multiple text chunks at once with aggregated embeddings from Ollama. vector, embedding, collection, RAG, index, text, chunk, batch, ollama, chroma
Properties
| Property | Type | Description | Default |
|---|---|---|---|
| collection | collection |
The collection to index | {'type': 'collection', 'name': ''} |
| document | str |
The document to index | `` |
| document_id | str |
The document ID to associate with the text | `` |
| metadata | Dict[Any, Any] |
The metadata to associate with the text | {} |
| text_chunks | List[(text_chunk | str)] |
List of text chunks to index | [] |
| context_window | int |
The context window size to use for the model | 4096 |
| aggregation | Enum['mean', 'max', 'min', 'sum'] |
The aggregation method to use for the embeddings. | mean |
Metadata
Related Nodes
Browse other nodes in the vector.chroma namespace.