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Building an Agentic RAG Application — From Scratch
I'm currently working on an end-to-end AI Document Assistant using Python, FastAPI, LangChain, OpenAI, and vector databases.
My goal is to build a practical application that can understand documents, retrieve relevant information, and generate answers grounded in the provided context.
What I've implemented so far
1. Document Ingestion
PDF document loading
Text extraction
Document chunking
Metadata preservation
2. Embedding & Vector Storage
OpenAI embeddings (text-embedding-3-small)
ChromaDB integration
Persistent vector storage
3. Retrieval Pipeline
Semantic similarity search
Top-K document retrieval
Context preparation
4. RAG API
FastAPI backend
OpenAI-powered answer generation
Document-grounded responses
Source metadata in API responses
Technology Stack
Python
FastAPI
LangChain
OpenAI
ChromaDB
React / Next.js (planned frontend)
What's next?
I'm moving towards advanced retrieval techniques, query rewriting, reranking, LangGraph-based agent workflows, and frontend integration.
This is an ongoing hands-on project. I'll be sharing the architecture, implementation decisions, challenges, and progress as I build.
My focus: Building practical AI applications that solve real business problems, not just experimenting with LLM APIs.
If you're exploring AI document automation, RAG systems, or custom AI assistants, I'd be happy to connect and exchange ideas.
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Project Title
Sterling Design & Remodeling | AI-Powered Website & Lead Generation
Short Description
An AI-powered website designed to showcase luxury remodeling services, attract homeowner inquiries, and support local search visibility in San Diego.
Project Overview
Transformed Design Inc. developed a website experience for Sterling Design & Remodeling that presents its integrated approach to residential design and construction.
The design combines warm charcoal tones, gold accents, elegant typography, and project imagery to reflect the company’s premium positioning. Clear navigation helps homeowners explore the design process, whole-home remodeling, additions, ADUs, and outdoor projects.
Lead Generation Strategy
The website guides prospective clients from exploring project possibilities to understanding Sterling’s design-build process and contacting the team. Service-specific navigation, prominent phone access, and process-focused calls to action help homeowners evaluate the company’s approach before discussing their project.
AI Search Strategy
The content approach emphasizes clearly defined remodeling services, descriptive headings, and geographic relevance to San Diego. This structure is intended to help search engines and AI search tools understand the company’s capabilities and relevance to homeowners seeking design-build and renovation services.
Project Focus
AI-powered website development
Homeowner inquiry lead generation
Luxury remodeling and project presentation
Design-build process communication
Local SEO and AI search content structure
Website
designedbysterling.com
Clear service categories are helpful.
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