Handling Context and Memory in AI Applications
Handling Context and Memory in AI Applications
Language models do not remember conversations automatically. They rely entirely on the context provided in each request.
1) Context Window
Every model has a maximum token limit. If your conversation exceeds this, earlier messages are truncated.
2) Conversation Memory Strategy
- Store chat history in database
- Send last N messages
- Summarize older messages
3) Long-Term Memory
Advanced systems use embeddings and vector databases to retrieve relevant past information dynamically.
4) Enterprise Considerations
- Token cost control
- Latency management
- Privacy compliance
5) Summary
Context management determines how intelligent and coherent your AI assistant appears.
