You will get Internal RAG System Setup
Project details
You get a practical internal RAG system built around your company documents, SOPs, reports, manuals, or support content. I help structure the data, set up retrieval logic, connect the model layer, and shape the system so your team can search and use internal knowledge more easily. This is built for real internal use, not a demo. The goal is better answers, cleaner retrieval, and less time wasted digging through files.
AI Development Type
Knowledge RepresentationWhat's included $1,500
These options are included with the project scope.
$1,500
- Delivery Time 14 days
Frequently asked questions
6 reviews
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EM
Elise M.
Apr 29, 2020
Developer with experience with React, Typescript and GraphQL required for new features
Tim is a very good React developer, he understood our requirements and was able to make some great suggestions on our product. Fast delivery and would hire again!
CS
Claire S.
Jun 20, 2017
Help Setting up Shopify Site
Would love to keep working with Tim, if he becomes available again.
AK
Andoni K.
Apr 13, 2017
Confectionery Website, Online Store in Shopify and amazon later
Tim jumped straight onto it and helped me identify what I needed from our first discussion. Highly recommended.
JT
Jiayu T.
Mar 14, 2017
Need help to Justify Should i choose a personal e commerce site over a third party eCommerce such as ebay.
Ensure the concept of what i wanted before commencing the job. Someone who posses technical knowledge about e-commerce. good effort.
NU
Nick U.
Oct 11, 2016
Shopify and ongoing web tweaks
Tim McNamara completed all requirements in a timely and professional manor and I would happily recommend his work and work with Tim again in the future.
About Tim
RAG Engineer | OCR, Internal AI, Knowledge Base & Document Automation
Oak Park, Australia - 11:10 am local time
Most clients come to me frustrated. They already have the raw material: PDFs, SOPs, reports, emails, spreadsheets, manuals, and internal documents, but everything is scattered, messy, and still handled manually.
Their team wastes 30+ hours digging through files, repeating the same work, and dealing with processes that should already be automated.
That’s exactly why they hire me.
𝙎𝙚𝙧𝙫𝙞𝙘𝙚𝙨 𝙄 𝙊𝙛𝙛𝙚𝙧:
𝟭. RAG Systems - Private, Secure internal retrieval systems for company docs, SOPs, support content, reports, tenders, manuals, and other internal knowledge that guarantees your data will never leave the your cloud infrastructure (AWS or Azure).
𝟮. OCR & Document Automation - extract, structure, validate, and route data from PDFs, scans, forms, and messy documents into usable workflows.
𝟯. Internal AI Tools - assistants for teams that help with search, summaries, document handling, internal support, and operational workflows.
𝟰. Knowledge Base Setup - turn scattered docs and raw files into a usable knowledge base with better structure, search, access, and retrieval.
𝟱. ETL Pipelines for AI - ingest, clean, normalize, enrich, and move data into the right format for RAG, search, and internal automation.
𝟲. Document Processing Workflows - build systems for classification, extraction, review, exception handling, and downstream actions.
𝟳. API Integrations & Automation - connect internal AI systems to your stack using REST APIs, webhooks, n8n, Make, Zapier, Twilio, Stripe, and other tools where needed.
𝙄 𝙖𝙢 𝙚𝙭𝙥𝙚𝙧𝙩 𝙖𝙩:
𝟭. RAG / Retrieval: LangChain, vector databases, pgvector, PostgreSQL, Supabase
𝟮. OCR / Document AI: Azure Document Intelligence, Amazon Textract, document extraction, structured parsing
𝟯. Internal AI: Claude API, OpenAI API, prompt engineering, agentic workflows
𝟰. Frontend, Backend & Integrations: React, Next.js, SvelteKit, Node.js, NestJS, JavaScript, TypeScript, REST APIs, webhooks
𝟱. Deployment: Vercel, Railway, Azure App Service, Azure Entra ID
𝟲. Automation: n8n, Make, Zapier, ETL pipelines, workflow automation
𝙏𝙝𝙚 𝙠𝙞𝙣𝙙 𝙤𝙛 𝙬𝙤𝙧𝙠 𝙄 𝙝𝙚𝙡𝙥 𝙢𝙤𝙨𝙩 𝙬𝙞𝙩𝙝:
🔹 RAG systems built around company docs, SOPs, reports, and internal knowledge
🔹 OCR and document automation workflows that reduce manual work
🔹 Knowledge bases that need better structure, search, and retrieval
🔹 Document processing systems that need extraction, classification, and routing
🔹 Internal tools that need AI features without becoming messy or overbuilt
🔹 Teams that need practical automation, not a flashy demo that does nothing useful
🔹 Internal RAG systems where sensitive data never leaves your infrastructure.
If you need RAG, OCR, internal AI, a better knowledge base, or document automation that actually helps your team work faster and cleaner, send me a message. I am happy to help.
Steps for completing your project
After purchasing the project, send requirements so Tim can start the project.
Delivery time starts when Tim receives requirements from you.
Tim works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Document Audit
Review your existing documents, storage structure, and content to understand what we are working with, how it is currently organised, and what the retrieval goals are.
Data Structuring & Ingestion Pipeline
Clean, chunk, and structure your documents into a format ready for vector storage. Build the ingestion pipeline that pulls documents into the system reliably.