You will get Internal Support Assistant AI RAG (NestJS | LangChain | LangGraph)
Project details
WHAT ISA-RAG IS
A Retrieval-Augmented Generation (RAG) system deployed entirely inside the client's infrastructure and adapted to their real operational needs. Employees ask questions in natural language, just like they would ask a senior colleague, and receive supported answers with exact references to the source document and page.
• Automated ingestion of PDF, Word, Excel, PowerPoint, Markdown and TXT, plus a first approach to OCR
• Semantic indexing that understands meaning, not only keywords, with citations to the source document
• Multi-LLM configuration accounts and multi-format knowledge ingestion per account
• Chat threads with relevant citation references and deep reasoning powered by AI agents
• Landing page chat integration
• Access control based on users and roles
• Runs with local language models across Ollama, with zero exposure to external APIs
ISA-RAG has been built as an open MVP, ready to be adapted to the real needs and workflows of your company. It was designed as a complete system, opening many possibilities to be extended with enterprise automation, not just as a chatbot.
A Retrieval-Augmented Generation (RAG) system deployed entirely inside the client's infrastructure and adapted to their real operational needs. Employees ask questions in natural language, just like they would ask a senior colleague, and receive supported answers with exact references to the source document and page.
• Automated ingestion of PDF, Word, Excel, PowerPoint, Markdown and TXT, plus a first approach to OCR
• Semantic indexing that understands meaning, not only keywords, with citations to the source document
• Multi-LLM configuration accounts and multi-format knowledge ingestion per account
• Chat threads with relevant citation references and deep reasoning powered by AI agents
• Landing page chat integration
• Access control based on users and roles
• Runs with local language models across Ollama, with zero exposure to external APIs
ISA-RAG has been built as an open MVP, ready to be adapted to the real needs and workflows of your company. It was designed as a complete system, opening many possibilities to be extended with enterprise automation, not just as a chatbot.
Purpose
BusinessIndustry
Business Services & Consulting, Cybersecurity, Education, Financial Services, Government & Public Sector, Legal, Manufacturing & Storage, Medical & Pharmaceutical, Real Estate, SoftwareLanguage
EnglishWhat's included
| Service Tiers |
Starter
$150
|
Standard
$1,200
|
Advanced
$1,800
|
|---|---|---|---|
| Delivery Time | 1 day | 7 days | 15 days |
Number of Revisions | 0 | 2 | 4 |
Number of Hours of Work | 1 | 40 | 160 |
Basic Photo Editing | - | - | - |
Organize & Classify/Tag Files | - | - | - |
Formatting & Clean Up | - | - | - |
Project Management Support | - | - | - |
Travel Planning | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100
Additional Hour of Work
+$50About Adrian
Backend | Node.js | NestJS | Microservices | AWS | AI Solutions
Houston, United States - 4:05 am local time
I help startups and growing companies design, scale and modernize backend platforms.
With 15+ years of experience in software engineering, I’ve built everything from traditional Node.js/Express APIs to large-scale NestJS microservice ecosystems running in production on AWS.
My expertise goes far beyond writing endpoints. I design complete backend platforms including:
• REST APIs and Microservices
• Event-Driven Architectures (RabbitMQ, Kafka)
• AWS Cloud Infrastructure (EKS, EC2, RDS, S3, ECR)
• Docker & Kubernetes Deployments
• CI/CD Pipelines and Release Automation
• Authentication & Authorization (Keycloak, JWT, SSO)
• PostgreSQL, MySQL, MongoDB and Redis
• Domain-Driven Design (DDD)
• Hexagonal and Clean Architectures
• System Modernization and Legacy Refactoring
I have led backend initiatives from architecture design to production deployment, helping teams improve scalability, maintainability and operational reliability.
In recent years, I have also specialized in Enterprise AI solutions, building internal AI assistants and knowledge platforms using:
• NestJS
• LangChain
• LangGraph
• RAG Architectures (OpenSource LLM & Cloud LLM
• Vector Database (Milvus, Qdrant)
These solutions allow organizations to securely leverage internal knowledge while maintaining data privacy and response accuracy.
Whether you need to build a new platform, scale an existing system, modernize a legacy codebase, migrate from Express to NestJS, implement Microservices, or integrate AI capabilities into your business workflows, I can help turn complex technical challenges into production-ready solutions.
Steps for completing your project
After purchasing the project, send requirements so Adrian can start the project.
Delivery time starts when Adrian receives requirements from you.
Adrian works on your project following the steps below.
Revisions may occur after the delivery date.
Infrastructure Assessment & Setup
I will deploy the backend/infra Docker images to your Hostinger VPS and set up both the landing page and web app using your domain. Simultaneously, I will download and deploy open-source LLMs onto a RunPod template pre-configured with Ollama Server.