Building better chat experiences with context and memory
Design patterns for long-running conversations, citation grounding, and responsive streaming in production chat UIs.
Marcus Chen
Engineering
Great chat products feel effortless. Under the hood, they require careful attention to context windows, streaming UX, and grounding.
Context management
Long conversations exceed model limits quickly. We recommend a tiered approach:
- Recent messages — always include the last N turns verbatim
- Summarized history — compress older turns into a rolling summary
- Retrieved context — inject relevant documents via RAG when needed
Streaming best practices
Users perceive latency through the first token. Optimize for:
- Immediate typing indicators
- Incremental markdown rendering
- Graceful cancellation when the user sends a follow-up
for await (const chunk of stream) {
appendToken(chunk.delta.content);
}Citations and trust
When answers draw on external sources, surface citations inline. Users should always be able to verify claims without leaving the thread.
Ground every factual claim in a retrievable source — or say you don't know.
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