Voice AI · Agentic guardrails · Production RAG

NyraAI.

A production voice AI platform with low-latency speech synthesis, ChromaDB RAG retrieval, multi-model routing (OpenAI + Anthropic), and proactive safety guardrails.

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GUARDRAILS ACTIVEVOICE INGESTION → MODEL ROUTER → GUARDRAILS MATRIXINTENT PARSERFastAPI / STTMODEL ROUTEROpenAI + AnthropicCHROMADB RAGvector context indexGUARDRAILSfallback matrix+35%CONTEXT ACCURACY40% reduced hallucinations · LangChain + ChromaDBARCHITECTURE ILLUSTRATION
DOCUMENTED OUTCOME+35%Context accuracy · 40% less hallucinations
TECHNOLOGIES

Python · LangChain · FastAPI · ChromaDB · OpenAI API · Anthropic API · WebSockets · Docker

The problem

Production voice assistants frequently struggle with hallucinated outputs, slow multi-step tool resolution, and brittle failure modes when primary LLM APIs encounter rate limits or latency spikes.

The engineering

01

Engineered a high-concurrency FastAPI streaming service pairing LangChain agentic workflows with ChromaDB vector search for context-grounded retrieval.

02

Implemented strict AI guardrails, output validation schemas, and automated fallback degradation between OpenAI and Anthropic models to guarantee reliability under heavy traffic.

03

Designed structured prompt templates and multi-step intent resolution pipelines, backed by CI/CD regression suites evaluating safety, factual accuracy, and p95 latency.

The outcome

Delivered a commercial-grade voice AI platform that improved context accuracy by 35%, reduced hallucination rates by 40%, and maintained reliable sub-second streaming inference in production.

PROJECT SUMMARY BASED ON MY RÉSUMÉ. DIAGRAMS ILLUSTRATE THE ARCHITECTURE; THEY ARE NOT PRODUCT SCREENSHOTS.
NEXT PROJECT / 03NS4 Inc