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Overview
AuraChat is an AI-first customer support layer that ships with conversation memory, retrieval-augmented context, and configurable prompts so teams can deploy a domain-aware assistant in hours, not weeks.
Technology Stack
Key Features
Conversation Memory
Per-user threads with persistent context windows.
Prompt Engineering
Configurable system prompts with safety guardrails.
LangChain Chains
Modular RAG pipelines that plug into any data source.
Streaming Responses
Token-by-token streaming UI with cancel support.
Analytics Dashboard
Quality, latency, and cost metrics per conversation.
Multi-Model Support
Swap between OpenAI, Anthropic, and local models.
Challenges & Solutions
Token Cost Control
Problem · Long contexts spiked OpenAI costs.
Solution · Implemented sliding window summarization plus embeddings retrieval to keep prompts lean.
Latency
Problem · Initial responses felt slow on mobile.
Solution · Switched to streaming responses and edge caching for the warm path.
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