Full Stack Enterprise2024Full Stack Solution Architect

Enterprise AI Knowledge Mesh & RAG Pipeline

Semantic Search Engine over 10M+ Enterprise Documents with Granular RBAC

Document Vectorized

10M+

PDFs, Docs, and Schemas

Search Relevance (mAP)

94.2%

Hybrid Dense/BM25 Ranker

Time-to-First-Token

320ms

Streaming WebSockets

Role Permission Checks

0ms Overhead

Vector metadata filtering

Technology Stack & Tools Used

Next.js 15PythonFastAPIpgvectorPostgreSQLPineconeTailwind CSSDocker

Architectural Overview & System Boundaries

A hybrid solution featuring a Next.js 15 frontend consuming a FastAPI async orchestration engine. Document ingestion pipelines chunk text into contextually preserved paragraphs, generate 1536-dimensional embeddings, and store them alongside tenant permission metadata in PostgreSQL with pgvector.

Core Engineering Challenges

1Preventing sensitive legal document leakage across client organization tiers.

2Managing memory overhead during large document vector batching.

3Achieving instant sub-second conversational UI feedback.

Critical Architectural Decisions & Trade-Offs

Metadata-Level Dynamic Vector Filtering

Post-filtering search results by user roles wasted query time and leaked item counts. Inlining user group IDs directly into pgvector SQL queries filtered at index retrieval.

Impact: Guaranteed absolute tenant isolation with zero performance degradation.

Server-Sent Events (SSE) Response Streaming

Waiting for complete LLM token synthesis created 4s perceived user latency. SSE streaming allowed real-time token rendering directly to the React UI.

Impact: Perceived system responsiveness improved by 92%.

### Reimagining Enterprise Search Unstructured data scattered across Google Drive, SharePoint, and internal databases often stalls enterprise decision-making. We built a enterprise knowledge mesh that answers complex legal questions with pinpoint source citations. ### Security Framework Security was paramount. We embedded access-control lists (ACLs) into every vector embedding payload, ensuring that search queries return only information the authenticated user has explicit permissions to read.

Back to Case Studies Consult on Similar Software Project

Ready to Build Your Project?

Let's Build Your Custom Web Application

Whether you need a full-stack web app, a Node.js REST API, a Next.js SaaS MVP, an admin dashboard, or performance optimization for an existing application — I am available for freelance projects in Kerala, India, and worldwide.

Fast WhatsApp & Email Response•Remote Worldwide & India•Fixed-Scope or Milestone Rates

Discuss Your Project Start a Project abinschandran1@gmail.com