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AI assistant platform enabling businesses to automate customer support, internal queries, and document analysis using custom-trained models.
Small businesses need AI capabilities but lack resources for custom solutions. Goal: accessible, customizable AI assistant platform.
Lead developer. Architecture design, AI integration, API development.
| Phase | Duration | Activities |
|---|---|---|
| Research | Completed | RAG architectures, embedding models |
| Core Platform | In Progress | API, document processing |
| Interface | Planned | Dashboard, chat widgets |
| Launch | Future | Beta testing, client onboarding |
Context accuracy
Hybrid search combining semantic and keyword matching.
Cost efficiency
Intelligent caching, model selection based on query complexity.
Core RAG system functional. Building admin interface.