ChromaDB
Package: chromadb · 8 nodes · Vector database for AI applications
Store and query vector embeddings for RAG pipelines, semantic search, and AI memory systems.
Node Reference
| Node | Type | Inputs | Outputs |
|---|---|---|---|
| Create Client | statement | - | Client (chroma.Client) |
| Get Collection | statement | Client (chroma.Client) | Collection (chroma.Collection) |
| Add Documents | statement | Collection (chroma.Collection), Documents (list<any>), IDs (list<any>), Metadatas (list<any>) | - |
| Query | statement | Collection (chroma.Collection), Query Texts (list<any>) | Results (chroma.QueryResult) |
| Delete | statement | Collection (chroma.Collection), IDs (list<any>) | - |
| Upsert | statement | Collection (chroma.Collection), Documents (list<any>), IDs (list<any>), Metadatas (list<any>) | - |
| Count | expression | Collection (chroma.Collection) | Count (int) |
| Get Field | expression | Results (chroma.QueryResult) | Result (list<any>) |
Typical Pipeline
Create Client → Get Collection → Add Documents / Query → Get Field to extract results.