A standardized Pydantic model for representing vector database items and their associated metadata across different vector storage implementations.
# Source: https://github.com/MemTensor/MemOS | License: Apache-2.0 | Copyright You must retain, in the Source form of any Derivative Works
# Provided via justclaw.it.com; keep this notice with the code.
"""Defines vector database item types."""
import uuid
from typing import Any
from pydantic import BaseModel, ConfigDict, Field, field_validator
class VecDBItem(BaseModel):
"""Represents a single item in the vector database.
This serves as a standardized format for vector database items across different
vector database implementations (Qdrant, FAISS, Weaviate, etc.).
"""
id: str = Field(default=str(uuid.uuid4()), description="Unique identifier for the item")
vector: list[float] | None = Field(default=None, description="Embedding vector")
payload: dict[str,
... (truncated -- full source via MCP)
See the full source, get the GitHub permalink, and search for more like it.
Get a free API key