I will build your cross platform flutter ai app with openai langchain rag


Informazioni su questo servizio
Building a mobile AI application requires more than sending basic API calls. Unhandled latency, missing state management, and inefficient context windows degrade app usability and increase API costs.
I build cross-platform Flutter applications powered by OpenAI models, LangChain orchestration, and custom RAG (Retrieval-Augmented Generation) architectures.
What I deliver:
- Cross-platform Flutter frontend (iOS & Android)
- OpenAI API integration (GPT-4o, DALL-E, Whisper, Embeddings)
- LangChain pipelines (RAG vector context, conversational memory)
- Vector DB connectivity (Pinecone, Supabase Vector)
- Token streaming UI & robust state management (Riverpod/Bloc)
- Authentication & backend storage (Firebase / Supabase)
Process:
- Requirement alignment & architecture design
- Flutter frontend development & state wiring
- LangChain context & OpenAI API integration
- Rigorous performance, streaming, & edge-case testing
- Delivery with clean, documented source code
Please message me with your project details before placing an order to confirm scope and technical feasibility.
Scopri di più su Briano D
Tech Specialist
- DaRegno Unito
- Membro daset 2026
Lingue
Inglese, Francese
FAQ
What do I need to provide before work starts?
You will need to provide your app concept, wireframes or UI references (if available), and your OpenAI/Vector DB credentials for development.
Will the app run on both iOS and Android?
Yes. Flutter compiles natively to both platforms from a single clean codebase.
How does RAG (Retrieval-Augmented Generation) work in the app?
RAG allows the app to fetch relevant chunks from your custom documents (PDFs, text) stored in a vector DB and pass them to OpenAI to ensure accurate, context-aware answers.
Can you handle user authentication and subscriptions?
Yes, standard and premium packages can include user authentication via Firebase/Supabase and subscription logic via RevenueCat or Stripe
