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git clone gitlawb://did:key:z6Mkq5mY...iFZ5/my-project-publ...git clone gitlawb://did:key:z6Mkq5mY.../my-project-publ...2fa351d6docs: add automaton and perps launch sources16d ago| #1 | """ |
| #2 | Configuration for Amazon Neptune Analytics vector store. |
| #3 | |
| #4 | This module provides configuration settings for integrating with Amazon Neptune Analytics |
| #5 | as a vector store backend for Mem0's memory layer. |
| #6 | """ |
| #7 | |
| #8 | from pydantic import BaseModel, Field |
| #9 | |
| #10 | |
| #11 | class NeptuneAnalyticsConfig(BaseModel): |
| #12 | """ |
| #13 | Configuration class for Amazon Neptune Analytics vector store. |
| #14 | |
| #15 | Amazon Neptune Analytics is a graph analytics engine that can be used as a vector store |
| #16 | for storing and retrieving memory embeddings in Mem0. |
| #17 | |
| #18 | Attributes: |
| #19 | collection_name (str): Name of the collection to store vectors. Defaults to "mem0". |
| #20 | endpoint (str): Neptune Analytics graph endpoint URL or Graph ID for the runtime. |
| #21 | """ |
| #22 | collection_name: str = Field("mem0", description="Default name for the collection") |
| #23 | endpoint: str = Field("endpoint", description="Graph ID for the runtime") |
| #24 | |
| #25 | model_config = { |
| #26 | "arbitrary_types_allowed": False, |
| #27 | } |
| #28 |