Connect LLM models to custom user dashboards. Our professional AI application development services design generative dashboards, configure semantic vector search databases, and optimize prompt engineering pipelines.
AI application development involves building user interfaces that connect with model APIs to generate text, summarize files, or execute semantic search queries. Professional developers build responsive dashboards that translate model data into clean user views.
AI application development builds full stack web and SaaS applications powered by Large Language Models, prompt engineering layers, and vector search stores.
Yes, we integrate both proprietary model APIs (OpenAI GPT-4o, Claude 3.5, Gemini 1.5) and self-hosted open-source models (Llama 3, Mistral) on HuggingFace / AWS vLLM instances.
Vector search converts text and product catalogs into mathematical embeddings (Pinecone/Qdrant), enabling users to find relevant results based on conceptual meaning rather than exact keyword matches.
We construct high speed, interactive user interfaces using React, Next.js, Vue, and TailwindCSS with real-time SSE (Server-Sent Events) streaming for instant model responses.
We build backend proxy middleware handling token quotas, user subscription tiers (Stripe integration), request caching, and WebSockets/SSE streaming.
We will analyze your feature goals and outline recommendations to build a custom LLM portal.
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