I will build a high performance ai rag system in elixir phoenix

Stop struggling with Python's high latency and concurrency limits. Build your AI RAG system on the battle-tested BEAM VM!

As an Elixir & Phoenix developer, I build ultra-fast, fault-tolerant, and highly concurrent Retrieval-Augmented Generation (RAG) systems that stream AI answers to thousands of users simultaneouslywithout complex React bloat.

What I can do for you:

• RAG Architecture: Design low-latency ingestion pipelines using PostgreSQL + pgvector.
• LLM & Local Embeddings: Integrate OpenAI, Claude, or local open-source models with Bumblebee/Nx.
• Real-time Streaming: Smooth UI responses using Phoenix LiveView and PubSub.
• Structured Output: Seamless parsing and validation with InstructorLite/Ecto.
• Advanced Search: Hybrid retrieval combined with Reciprocal Rank Fusion (RRF) for 95%+ accuracy.

Why Elixir for AI? Standard Python apps crash under heavy concurrent loads. Elixir's supervision trees isolate processes, meaning if an LLM API timeout occurs, the system self-heals in milliseconds without affecting other active users.

PLEASE MESSAGE ME BEFORE ORDERING so we can align on your technical requirements and data schema.