All projects
Next.js
FastAPI
Node.js
LangChain
LangGraph
Prisma
Drizzle
shadcn/ui
Zustand
NextAuth
motion
Tailwind CSS v4
PostgreSQL (Neon)
ChromaDB
Qdrant
MongoDB
Docker
AWS
Vercel
Cloudflare
LangSmith
Sentry
B-RAG
An agentic document intelligence and research platform built with LangGraph and LangChain, featuring multimodal processing, vector search, citation-aware AI chat, and a context-rich assistant for AI, solutions architecture, and full-stack development.
Next.jsFastAPINode.jsLangChainLangGraphPrismaDrizzleBeBetter-Auth
shadcn/uiZustandNextAuthmotionTailwind CSS v4PostgreSQL (Neon)ChromaDBQdrantMongoDBDockerAWSVercelCloudflareLangSmithSentry01 / System Architecture
B-RAG
Click image to expand · 1 / 7
02 / Workflow
How It Works
02 / Deployment
CI/CD Pipeline
01
Branch to feature
development02
Feature work & test
feature03
Merge to development
feature04
Test on development
development05
Merge to main
development06
Deploy to production
main01
Branch to feature
development02
Feature work & test
feature03
Merge to development
feature04
Test on development
development05
Merge to main
development06
Deploy to production
mainBranch from development to feature → develop & test → merge to development → run test suite → merge to main → GitHub Actions runs tests → deploy to AWS (backend), Vercel (frontend), Cloudflare (CDN/DNS).
03 / Technology Stack
Technologies
FrameworksNext.jsFastAPINode.js
Next.jsFastAPINode.jsLibrariesLangChainLangGraphPrismaDrizzle
Better-Authshadcn/uiZustandNextAuthmotionTailwind CSS v4
LangChainLangGraphPrismaDrizzleBetter-Authshadcn/uiZustandNextAuthmotionTailwind CSS v4DataBasesPostgreSQL (Neon)ChromaDBQdrantMongoDB
PostgreSQL (Neon)ChromaDBQdrantMongoDBInfrastructuresDockerAWSVercelCloudflare
DockerAWSVercelCloudflareObservabilitiesLangSmithSentry
LangSmithSentry