Introduction

Introduction

Welcome to Cortefy - a powerful semantic memory API that enables you to store, search, and retrieve information using vector embeddings and semantic similarity.

What is Cortefy?

Cortefy is a semantic memory API that allows you to:

  • Ingest text content and automatically chunk it into searchable memories
  • Search your memories using semantic similarity (vector search)
  • Organize memories into containers for better organization
  • Scale with async embedding generation and efficient vector storage

Key Features

  • 🚀 Fast Semantic Search - Find relevant content using natural language queries
  • 📦 Container Organization - Group memories by project, user, or topic
  • ⚡ Async Processing - Embeddings generated asynchronously for fast ingestion
  • 🔐 API Key Authentication - Secure access with API keys
  • 🎯 Flexible Chunking - Configurable text chunking strategies
  • 📊 Metadata Support - Attach custom metadata to memories

Quick Start

from cortefy import Cortefy
 
# Initialize client
client = Cortefy(api_key="your-api-key")
 
# Ingest content
result = client.memories.add(
    content="Machine learning enables computers to learn from data",
    container="ai-research"
)
 
# Search memories
results = client.search.query(
    q="What is machine learning?",
    containerTag="ai-research"
)

Next Steps

Getting Started