Tutorials
Welcome to the Papr Memory API tutorials! These hands-on guides will help you learn how to integrate memory capabilities into your applications through practical examples and real-world use cases.
Available Tutorials
Messages API Basics
Learn the essential messages workflow for session storage, compression, and memory processing. Get Started →
Python Chat Application
Build a Python FastAPI chat backend with session memory and graph-aware retrieval. Get Started →
GraphQL Analytics
Run structured queries and analytics on your memory graph for reporting and agent reasoning. Get Started →
Custom Schemas Deep Dive
Define domain entities and relationships with schema-driven extraction and retrieval. Get Started →
Multi-Hop Search
Answer cross-entity questions using graph-aware multi-hop retrieval. Get Started →
Batch Ingestion
Ingest large datasets reliably with batch write and idempotent workflow patterns. Get Started →
Multi-Tenant SaaS Memory
Implement tenant-safe memory architecture with organization and namespace scoping. Get Started →
Chat History
Learn how to build a chat history that stores and retrieves conversation history, enabling contextual responses based on past interactions. Get Started →
Document Q&A System
Create a document question-answering system that processes, stores, and enables semantic search across documents with natural language queries. Get Started →
Customer Experience System
Discover how to build a customer experience system that remembers and analyzes customer interactions, preferences, and feedback. Get Started →
Enterprise SaaS Knowledge Base
Build an enterprise knowledge base that organizes and retrieves product documentation, support articles, and internal knowledge with advanced search capabilities. Get Started →
User Preferences
Build persistent user preference memory for personalized AI experiences. Get Started →
Legal Document Analysis
Analyze legal documents with custom schema extraction and graph-based relationship understanding. Get Started →
Agent Self-Improvement
Implement agent memory loops so your assistant can retain lessons and improve over time. Get Started →
Prerequisites
Before starting the tutorials, make sure you have:
- A Papr Memory API key
- Basic knowledge of REST APIs
- Familiarity with async/await or Python async patterns
- A development environment with Node.js or Python installed
Getting Help
- Check our API Reference for detailed endpoint information
- Visit our Guides for in-depth concepts
- Join our Discord Community for support
- Contact us at support@papr.ai for technical assistance