Files
ai-worker-platform/backend/app/models/knowledge.py
T

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937 B
Python

"""Knowledge base document model for RAG."""
from sqlalchemy import Column, String, Integer, Text, Boolean, ForeignKey
from app.models.base import Base, TimestampMixin, TenantMixin
class KnowledgeDoc(Base, TimestampMixin, TenantMixin):
"""A document in the project knowledge base for RAG retrieval."""
__tablename__ = "knowledge_docs"
id = Column(Integer, primary_key=True, autoincrement=True)
project_id = Column(Integer, ForeignKey("projects.id"), nullable=True) # null = tenant-level
title = Column(String(500), nullable=False)
content = Column(Text, default="")
doc_type = Column(String(50), default="text") # text, markdown, url, file
source = Column(String(500), default="")
tags = Column(String(500), default="")
# Simple keyword index for MVP RAG (no vector DB needed)
keywords = Column(Text, default="[]") # JSON array of keywords
is_indexed = Column(Boolean, default=True)