SDOF Knowledge Base

/** * Knowledge Entry Model * * This model represents a knowledge entry in the SDOF knowledge base. * Each entry contains content, metadata, and a vector representation for semantic search. */ import mongoose, { Document, Schema } from 'mongoose'; // Interface for knowledge entry document export interface IKnowledgeEntry extends Document { title: string; content: string; contentType: string; category: string; tags: string[]; vector: number[]; sourceReference?: string; relatedEntries?: string[]; createdAt: Date; updatedAt: Date; accessCount: number; lastAccessedAt?: Date; } // Schema definition const KnowledgeEntrySchema = new Schema<IKnowledgeEntry>( { title: { type: String, required: true, index: true, }, content: { type: String, required: true, }, contentType: { type: String, required: true, enum: ['text', 'code', 'decision', 'analysis', 'solution', 'evaluation', 'integration'], default: 'text', }, category: { type: String, required: true, index: true, }, tags: { type: [String], default: [], index: true, }, vector: { type: [Number], required: true, index: true, // This will be replaced with a vector index in MongoDB }, sourceReference: { type: String, }, relatedEntries: { type: [String], default: [], }, accessCount: { type: Number, default: 0, }, lastAccessedAt: { type: Date, }, }, { timestamps: true, // Automatically add createdAt and updatedAt fields } ); // Create text indexes for full-text search capabilities KnowledgeEntrySchema.index({ title: 'text', content: 'text', tags: 'text' }); // Create a MongoDB Atlas vector search index (requires manual setup in MongoDB Atlas) // This is done via MongoDB Atlas UI or API, not in the schema definition // Helper method to increment access count KnowledgeEntrySchema.methods.recordAccess = function() { this.accessCount += 1; this.lastAccessedAt = new Date(); return this.save(); }; // Export the model const KnowledgeEntry = mongoose.model<IKnowledgeEntry>('KnowledgeEntry', KnowledgeEntrySchema); export default KnowledgeEntry;