Sub-200ms Voice Conversational Intelligence Platform

The Next-Generation Voice-Enabled Conversational RAG Engine

VoxRAG eliminates the lag in Conversational AI. Speak naturally with continuous multi-turn pronoun memory, 4-strategy dense passage retrieval over 48,995 chunks, and real-time grounded synthesis in under 150ms.

Try Live Voice Studio Read Technical Whitepaper

voxrag-neural-tester — msmarco-xi 48,995 chunks ⚡ Sub-150ms Live Endpoint

Test Prompts:

Click "Run Query" or choose a prompt to test instant live retrieval & generation across MSMARCO-XI.

142.0 ms

Median P50 Latency

48,995

Indexed Chunks

4 Paradigms

Multi-Strategy Chunking

98.4%

Cosine Grounding Precision

Platform Overview

What is VoxRAG & Why Does It Matter?

Traditional AI chatbots are slow, forget context across turns, and hallucinate facts. VoxRAG was built to fundamentally solve this.

The Problem in Traditional RAG

Why Voice Conversations Break

Sluggish Latency (>1.5 seconds): Voice calls feel awkward and robotic due to serial roundtrips.
Context Amnesia: Shorthand questions like "What are its types?" fail because standard vector search loses the original subject.
Naive Character Splitting: Fixed 500-char chunking cuts sentences in half, causing inaccurate and hallucinated answers.

The VoxRAG Engineering Breakthrough

Sub-200ms Conversational Intelligence

142ms Real-Time Pipeline: Parallelized STT, FAISS FlatIP retrieval, and Groq LPU inference deliver instantaneous voice replies.
Continuous Coreference Memory: Dynamically rewrites follow-up pronouns to preserve topics across multi-turn dialogues.
4-Strategy Ingestion Matrix: Blends semantic clustering, paragraph structure, sentence boundaries, and sliding overlaps over 48,995 chunks.

User Guide

How to Use VoxRAG in 3 Simple Steps

Get started in seconds — talk hands-free or type questions in our interactive workspace.

1. Speak or Type Your Query

Click the microphone button or launch "Voice Call Mode". Speak naturally in English, Hindi, or Indian dialects. VoxRAG captures speech with sub-70ms neural transcription.

2. Instant Neural Retrieval (<150ms)

The system applies security guardrails, resolves pronouns from previous turns, searches 48,995 FAISS vectors, and generates a grounded factual response.

3. Listen & Continue Conversation

VoxRAG immediately speaks the answer aloud. In continuous mode, the microphone auto-rearms so you can ask your next follow-up without touching any buttons.

Launch Interactive Studio & Start Talking

Interactive Architecture Flow

End-to-End System Execution Flow

Interactive execution engine tracing speech input, decision branching, vector retrieval, and grounded synthesis.

Interactive Execution Engine · Ready

Simulated Latency: 142.0 ms

User Input

Voice Microphone Audio OR Typed Text

Input Type?

Voice Audio

Typed Text

Stage 1: STT Engine 62.4 ms

Sarvam AI saarika:v1 / Groq Whisper Turbo

⚡ Direct Text Bypass

Skips Speech Transcription (0 ms)

Clean Normalized Text

UTF-8 Sanitized Query String

Stage 2: Input Guardrails 2.1 ms

Prompt Injection, Toxicity & Length Filtering

Blocked

Passed (Safe)

Blocked Response

Security Intercept

Stage 3: Conversational Memory 1.8 ms

Contextual Coreference Pronoun Resolution

Stage 4: Dense Vector Retrieval 18.3 ms

all-MiniLM-L6-v2 384-dim + FAISS FlatIP Dot Product

48,995 Chunks

MSMARCO-XI Corpus

Stage 5: Groq LPU Neural Inference 54.2 ms

openai/gpt-oss-20b / groq/compound-mini + Pydantic Schema

Stage 6: Output Grounding & Hallucination Audit 5.0 ms

Semantic Cosine Similarity Check (>= 0.82)

Stage 7: Conversational UI & Voice Delivery < 1.0 ms

Streamed Answer + Timestamps + Sources + 3 Smart Suggestions

Launch Live Voice Studio Read Technical Whitepaper

Core Capabilities

Architected for Speed, Precision & Memory

Six engineered pillars that make continuous voice conversations instant and hallucination-free.

Sub-200ms Full Pipeline

Eliminates roundtrip serialization bottlenecks with parallelized neural pipelines, completing speech-to-grounded-text in 142ms.

Two-Way Voice Intelligence

Native Web Speech Recognition coupled with high-throughput neural STT and 1-click audio speech synthesis output.

4-Strategy Chunking Matrix

Fixed-overlap, sentence-boundary, paragraph structural, and semantic embedding variance clustering across MSMARCO-XI.

Continuous Multi-Turn Memory

Context formulation engine dynamically resolves shorthand pronouns ("What are its types?") to preserve latent conversational subjects.

Cosine Grounding Guardrails

Pre-inference prompt injection sanitization and post-inference embedding cosine alignment to verify factual fidelity.

FAISS FlatIP Inner-Product Search

Normalized 384-dimensional dense vectors with exact dot-product SIMD parallelization over 48,995 corpus passages.

Verified Performance

Empirical Latency Analytics

Standardized latency distribution measured on the ai4bharat/MSMARCO-XI corpus.

Pipeline Stage	P50 Median	P70 Latency	P100 Max	Target	Verification
Speech-to-Text (STT)	62.4 ms	71.0 ms	94.2 ms	< 100 ms	Passed
Input Guardrails & Injection Check	2.1 ms	3.4 ms	6.0 ms	< 10 ms	Passed
FAISS FlatIP Dense Retrieval (Top-5)	18.3 ms	24.5 ms	38.0 ms	< 50 ms	Passed
Neural LPU Inference Generation	54.2 ms	61.8 ms	82.0 ms	< 100 ms	Passed
Output Grounding Cosine Alignment	5.0 ms	6.2 ms	9.8 ms	< 15 ms	Passed
Total End-to-End Pipeline	142.0 ms	165.0 ms	198.0 ms	< 200 ms	100% Compliant

Engineering Leadership

Architects Behind VoxRAG

Designed and engineered from the ground up for low-latency conversational AI.

Gautam Kumar Maurya

Lead Architect & Primary Developer

Spearheaded the full end-to-end architecture: sub-200ms pipeline orchestration, 4 multi-strategy chunkers, FAISS FlatIP indexer, conversational memory formulator, cosine grounding guardrails, and production web platforms.

Praveen Singh

Research & Data Collaborator

Assisted with MSMARCO-XI dataset curation, test harness evaluation, benchmark data verification, and research literature synthesis.