Vectorless RAG Pipeline
High-precision retrieval without vector DB overhead
Structured architectural snapshot optimized for enterprise review and generative search synthesis.
Hybrid BM25 + structured retrieval pipeline with sub-100ms p95 latency.
BM25 + structured filters with reciprocal rank fusion scoring.
p95 retrieval: <100ms • Faster than vector: 3× • Vector cost: $0
Zero Data Leakage / ISO 27001 Aligned
Executive Summary // Architecture Brief
PRODUCTION SPECIFICATIONA production-ready RAG pipeline that replaces vector stores with hybrid BM25 + structured Postgres retrieval, achieving sub-100ms p95 latency.
Key Impact & Verified Metrics // 2026 Telemetry
LIVE PRODUCTION BENCHMARKSCore Architecture & Capabilities // Symmetrical Topology
[ 3 OF 3 MODULES DEPLOYED ]Hybrid retrieval
BM25 + structured filters with reciprocal rank fusion scoring.
No vector infra
Operates without Pinecone, pgvector, Weaviate, or Chroma.
Sub-100ms p95
Consistently under 100ms at 95th percentile.
Interactive Architecture Runtime // Enterprise RAG Ingestion & Grounded Inference
LIVE RUNTIME SIMULATOREnterprise RAG SystemBM25 + Dense Hybrid
Ingestion → Quantized Embeddings → Vectorless BM25 → Grounded Generation
ClaimAssist AI - Document Intelligence & Hybrid RAG Platform
End-to-end multi-tier retrieval and automated underwriting adjudication system built for a Fortune 500 Global Insurance Carrier.
Python 3.11+ Async
Lingua Franca of AI
Multiplexes 100+ concurrent document processing streams with native asyncio. Directly connects actuarial Python data models with LangGraph orchestration.
FastAPI + Pydantic v2
API Backbone & Contracts
Enforces strict JSON schema validation for invoices and medical claims. Request/response models double as extraction schemas with 10K+ RPM throughput.
LangGraph State Machines
Deterministic Orchestrator
Manages 5-stage claims state machine (Classification → Strategy → Human-in-Loop → Context Assembly → Adjudication) with resumable checkpoints in PostgreSQL.
Azure Document Intelligence
Layout & Multi-Form OCR
Understands ACORD forms, CMS-1500, tables, and handwritten physician notes using prebuilt-invoice and custom neural models with 95%+ precision.
Azure AI Search (Hybrid)
Vector + Semantic + BM25
Sub-100ms hybrid search across 10M+ document chunks. Employs Azure AD security trimming so adjusters only access claims within authorized tiers.
LangSmith + RAGAS
Continuous Observability
Every claim receives a trace ID. Nightly RAGAS benchmark measures faithfulness (>0.90) and answer relevancy (>0.85) to eliminate silent hallucination.
Strict Compliance Isolation: Every claim document is indexed with tenant and claim authorization boundaries, preventing cross-tenant leakage under HIPAA & GDPR.
Vectorless RAG vs. Vector DB Latency & Cost Engine
Compare actual production telemetry between conventional dense embedding vector databases (Pinecone / Milvus) and SHIVAM ITCS deterministic Hybrid Vectorless RAG (BM25 + Semantic Graph Cache).
Traditional Vector DB (Pinecone / Milvus)
SHIVAM ITCS Hybrid Vectorless RAG
Vectorless RAG & Deterministic Inverted Index Blueprints
Eliminate vector database hosting costs, embedding drift, and non-deterministic hallucination risks through BM25+ inverted indexes and exact lexical citation graphs.
Deterministic Inverted Index Retrieval Topology
Mission-Critical Enterprise KnowledgeZero-vector retrieval topology leveraging deterministic inverted indexes, guaranteeing mathematical auditability and instant document updates.
Vectorless RAG Pipeline - Architecture Topology
Live topology inspection, microservice mesh, and protocol specifications for Vectorless RAG Pipeline.
Next.js 16 Edge Client
Global CDN distribution with server-side streaming hydration and sub-second TTFB.
YARP / Envoy Gateway
OAuth2/JWT token verification, mTLS encryption, rate limiting, and dynamic tenant routing.
SignalR WebSocket Hub
Bidirectional streaming for live telemetry, chat broadcast, and instant notifications backed by Redis.
C# .NET 9/10 Core Engine
High-throughput event sourcing with MediatR CQRS pipelines and compiled expression trees.
LangGraph AI Mesh
Stateful multi-agent execution with policy guards, token budget controllers, and tool routing.
vLLM Inference Cluster
Self-hosted Llama-3 & DeepSeek models with continuous batching and FP8 quantization.
Vectorless BM25 Engine
Zero vector database lock-in. SQLite FTS5 / Lucene BM25 index with reranking cross-encoder.
Apache Kafka / RabbitMQ
Log-based partitioned event streams for asynchronous auditing, notifications, and telemetry ingestion.
Redis 7.2 Cluster
Distributed cache with sub-millisecond lookups, distributed locks, and SignalR pub/sub backplane.
PostgreSQL Multi-Tenant DB
Strict tenant schema isolation with connection pooling (PgBouncer) and WAL archiving.
Next.js 16 Edge Client
SSR / Edge Worker
Architectural Specification
Global CDN distribution with server-side streaming hydration and sub-second TTFB.
Downstream Pipe Connectors
4-Phase Enterprise Architecture Pipeline
Deterministic enterprise delivery roadmap with verified milestones, security validation, and continuous telemetry sign-off for Vectorless RAG Pipeline.
Architectural Feasibility & Telemetry Audit
Evaluate enterprise workload constraints, latency targets, and data flow topologies for Vectorless RAG Pipeline.
- Deterministic Architecture Blueprint
- mTLS & RBAC Security Verification
- Sub-second Latency SLA Sign-Off
Subsystem Prototyping & Mesh Integration
Deploy core asynchronous modules and benchmark throughput with synthetic enterprise load.
- Deterministic Architecture Blueprint
- mTLS & RBAC Security Verification
- Sub-second Latency SLA Sign-Off
Security Hardening & Zero-Downtime Validation
Implement mTLS inter-service encryption, role-based guardrails, and shadow traffic validation.
- Deterministic Architecture Blueprint
- mTLS & RBAC Security Verification
- Sub-second Latency SLA Sign-Off
Production Cutover & Observability Calibration
Conduct automated verification, cutover routing, and configure continuous latency SLA alerting.
- Deterministic Architecture Blueprint
- mTLS & RBAC Security Verification
- Sub-second Latency SLA Sign-Off
4-Phase Enterprise Architecture Pipeline
Deterministic enterprise delivery roadmap with verified milestones, security validation, and continuous telemetry sign-off for Vectorless RAG Pipeline.
Architectural Feasibility & Telemetry Audit
Evaluate enterprise workload constraints, latency targets, and data flow topologies for Vectorless RAG Pipeline.
Subsystem Prototyping & Mesh Integration
Deploy core asynchronous modules and benchmark throughput with synthetic enterprise load.
Security Hardening & Zero-Downtime Validation
Implement mTLS inter-service encryption, role-based guardrails, and shadow traffic validation.
Production Cutover & Observability Calibration
Conduct automated verification, cutover routing, and configure continuous latency SLA alerting.
Industry Applications & Domain Adaptations
Deploy Vectorless RAG Pipeline with strict audit-grade event logs and sub-second deterministic execution.
HIPAA-aligned data isolation and high-concurrency microservice throughput.
Multi-tenant horizontal scaling with isolated resource quotas and p95 latency guarantees.
Resilient event-driven distributed topologies operating with zero downtime under load spikes.
Verified Production Impact & Client Endorsements
Real feedback from engineering leaders, CTOs, and founders across 15+ years of production deployments.
“Vijay and the SHIVAM ITCS AI team didn't just execute the project - they elevated our entire platform. Their ability to architect complex multi-agent state machines, eliminate latency bottlenecks, enforce zero-hallucination guardrails, and create an intelligent multi-LLM orchestration layer was extraordinary. The final delivery was resilient, battle-tested, and far beyond expectations. One of the strongest AI systems engineering teams in the industry.”
Related Works & Architectures
Explore interconnected production systems, domain-specific implementations, and technical blueprints from our engineering portfolio.
Ready to Build Enterprise Vectorless RAG Pipeline?
Consult directly with our principal AI architects to evaluate architecture feasibility, cost optimization paths, and implementation timelines.