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RAG ENGINE: MILVUS DISTRIBUTED VECTOR CLUSTER · ZERO HALLUCINATIONS · SUB-15MS RETRIEVAL

Enterprise RAG & Milvus Knowledge Base.
Zero Hallucinations. Sovereign Precision.

Never let an AI bot invent fake prices or hallucinate terms. QIXS.AI grounds every voice and WhatsApp interaction in your verified business data using a distributed Milvus vector database, hybrid dense+sparse retrieval, and strict citation gating.

[ VECTOR_DB: MILVUS_STANDALONE_V24 ] INDEX: HNSW + IVF_FLAT (768-DIM) EMBEDDING: BAAI/BGE-M3 (INDIC FLUENT)
RETRIEVAL SEARCH TIME: 11.6ms (p99)
INBOUND VOICE QUERY (ASR STREAM) HYBRID RETRIEVAL
Query: "What is the penalty if I foreclose my home loan within the first 6 months?"
RETRIEVED VECTOR CITATIONS (TOP-2 MATCHES):
📄 Banking_Policy_2026_v4.pdf (Chunk #182) SIMILARITY: 0.942

"Section 4.2: As per RBI master circular, floating-rate housing loans to individual borrowers have ZERO prepayment or foreclosure penalties at any point."

📄 Fee_Schedule_April_2026.csv (Row #45) SIMILARITY: 0.887

"Fixed-rate commercial loans subject to 2% foreclosure fee. Individual residential floating rate: ₹0.00."

FACT-VERIFIED AI SYNTHESIS ZERO HALLUCINATION PASS
VERIFIED VOICE RESPONSE:

"For individual home loans with floating interest rates, there is completely zero foreclosure penalty at any time, including within the first 6 months, strictly in accordance with RBI guidelines."

CONFIDENCE GAUGE
99.8% (GROUNDED)
DATA RESIDENCY
AWS MUMBAI (ap-south-1)
GUARDRAIL: FALLBACK TO HUMAN CONSOLE IF SIMILARITY < 0.82
01 / ZERO HALLUCINATIONS
Strict Semantic Citation Grounding
02 / VECTOR SPEED
Sub-15ms Milvus Vector Search
03 / HYBRID RETRIEVAL
Dense Vectors + BM25 Sparse Keyword Match
04 / MULTI-SOURCE INGEST
PDFs, CSVs, OpenAPI, Notion, Web URLs
05 / DATA RESIDENCY
100% Sovereign Cloud Storage (Mumbai)
06 / DPDP ACT 2023
Automated PII Redaction & Masking
[ RAG ARCHITECTURE : MILVUS VECTOR ENGINE ]

Engineered for Regulated Indian Enterprise Data

BFSI, healthcare, and real estate enterprises cannot tolerate hallucinated answers or leaking customer PII to overseas servers. QIXS.AI provides sovereign, zero-hallucination vector retrieval.

01 / MILVUS DISTRIBUTED CLUSTERS

Sub-15ms Million-Scale Vector Search

Milvus handles enterprise-scale vector collections with sub-15ms p99 latency. With horizontal sharding and hardware-accelerated HNSW indexing, search speeds stay blazing fast even under heavy parallel call volume.

ENGINE: MILVUS 2.4 DISTRIBUTED
02 / HYBRID DENSE + BM25 RETRIEVAL

Pinpoint Accuracy for SKUs & Policy IDs

Dense embeddings understand semantic meaning ("cheapest 2BHK"), while sparse BM25 retrieval matches exact part numbers, IFSC codes, policy IDs, and legal clauses without ambiguity or semantic distortion.

SEARCH: DENSE (768D) + SPARSE BM25
03 / STRICT FACTUAL CITATION GATING

Zero Hallucinations or Automatic Escalation

Every synthesized answer must explicitly cite retrieved document source IDs. If the user's inquiry falls below our 0.82 confidence threshold, the AI gracefully escalates to a human supervisor on the Live Console.

GUARDRAIL: CONFIDENCE THRESHOLD > 0.82
04 / MULTI-SOURCE LIVE SYNC

Ingest Catalogs, PDFs, and API Endpoints

Upload complex product manuals, loan rate sheets, and hospital doctor schedules. Our intelligent parser preserves tables, headers, and bullet structures with automated web crawler re-indexing on schedule.

INGESTION: PDF · CSV · REST API · NOTION
05 / SOVEREIGN MUMBAI DATA RESIDENCY

100% In-Country Storage & Processing

All vector indices, raw documents, and cache layers are deployed strictly within AWS Mumbai (ap-south-1) and Equinix data centers, guaranteeing zero cross-border data transfer under Indian regulatory laws.

COMPLIANCE: INDIA DPDP ACT 2023
06 / AUTOMATED PII REDACTION

Aadhaar, PAN & Account Number Masking

Inbound customer queries containing sensitive PII are scrubbed and tokenized in-memory before entering the vector index or LLM context, shielding your enterprise from data privacy liabilities.

PII SHIELD: AADHAAR · PAN · CC NUMBER
[ VECTOR DATABASE BENCHMARKS ]

QIXS.AI Milvus RAG vs Naive Vector Search

Compare our enterprise-grade retrieval pipeline against basic off-the-shelf vector wrappers.

Metric / Capability QIXS.AI Enterprise Milvus RAG Naive Vector Wrapper (Pinecone / Chroma / Raw LLM)
Search Latency (p99) Sub-15ms (Dedicated Milvus HNSW Index) 65ms – 250ms (Slow API network hops)
Hybrid Retrieval Support Native Dense Vector + BM25 Sparse Keyword Dense only; fails on exact SKUs and numbers
Hallucination Mitigation Strict citation boundary + Human fallback None; LLM invents facts when unsure
Table & Numerical Extraction Recursive Markdown table parser Raw text splitting breaks tabular rows
Indian Sovereign Data Residency 100% Localized in Mumbai (ap-south-1) Stored on US/EU multi-tenant cloud servers
PII Masking Pipeline Automated Aadhaar / PAN / Banking redaction Unprotected raw customer data logged in plaintext
[ FREQUENTLY ASKED QUESTIONS ]

Enterprise RAG & Milvus FAQs

QIXS.AI enforces strict fact-grounded semantic citation boundaries. Every answer generated by our LLM must be explicitly corroborated by retrieved document chunks from your verified knowledge base. If the vector retrieval similarity score falls below 0.82 or the query falls outside scope, the system gracefully triggers an automated fallback or warm transfer to a human supervisor.
Milvus is a battle-tested, cloud-native distributed vector database built for high concurrency. It provides sub-15ms search across billions of dense vectors (768/1536-dimensional embeddings) and natively integrates hybrid sparse (BM25) and dense retrieval, ensuring millisecond responses required for sub-650ms voice calls.
You can ingest PDF policy documents, Word manuals, Excel/CSV pricing catalogs, JSON OpenAPI specifications, Notion/Confluence workspaces, and live website URLs. QIXS.AI performs automated semantic chunking, recursive table extraction, and scheduled re-indexing.
Dense vector retrieval captures deep semantic concepts and synonyms, while sparse BM25 keyword retrieval pinpoints exact numerical identifiers, product codes (SKUs), policy numbers, and domain-specific acronyms. Combining both eliminates semantic drift and hallucinated product numbers.
Yes. Dedicated Milvus clusters and encrypted object storage reside exclusively in AWS Mumbai (ap-south-1) and Equinix Mumbai data centers. All data is protected with AES-256 encryption at rest and in transit, fully complying with India's DPDP Act 2023.
[ ACCURATE ENTERPRISE KNOWLEDGE ]

Deploy Zero-Hallucination Knowledge Agents

Upload your company PDFs, product catalogs, and policies to spin up fact-grounded voice and WhatsApp agents in minutes.