You will get AI Knowledge Assistant Powered by Your Own Data


Project details
Turn your company documents into an intelligent AI assistant that answers questions accurately with sources.
This system allows you to:
✔ Upload PDFs, docs, websites, databases, or SaaS tools
✔ Ask questions in natural language
✔ Get precise answers grounded in your data
✔ See source citations to reduce hallucinations
✔ Maintain multi-turn conversation context
✔ Deploy as an API or integrate into your app
Ideal for:
• Internal knowledge bases
• Customer support automation
• Policy & compliance assistants
• SaaS AI features
• Enterprise document search
If you're looking for a reliable RAG implementation that goes beyond basic embeddings and actually works in production — this is it.
Data Source Connectors
File Upload, Database, Web Crawler, Git Repository, Confluence, SharePoint, Notion, API
#RAG
#RetrievalAugmentedGeneration
#AIEngineer
#LLM
#GenerativeAI
#FastAPI
#Qdrant
#VectorDatabase
#AIChatbot
#HybridSearch
#AIAgents
#MachineLearning
#OpenAI
#SaaS
#ArtificialIntelligence
#EnterpriseAI
#KnowledgeAssistant
#AIAutomation
#BackendEngineering
#SemanticSearch
#MLOps
#ConversationalAI
#IntelligentSystems
#DataEngineering
#WorkflowAutomation
#SearchTechnology
#DeepLearning
This system allows you to:
✔ Upload PDFs, docs, websites, databases, or SaaS tools
✔ Ask questions in natural language
✔ Get precise answers grounded in your data
✔ See source citations to reduce hallucinations
✔ Maintain multi-turn conversation context
✔ Deploy as an API or integrate into your app
Ideal for:
• Internal knowledge bases
• Customer support automation
• Policy & compliance assistants
• SaaS AI features
• Enterprise document search
If you're looking for a reliable RAG implementation that goes beyond basic embeddings and actually works in production — this is it.
Data Source Connectors
File Upload, Database, Web Crawler, Git Repository, Confluence, SharePoint, Notion, API
#RAG
#RetrievalAugmentedGeneration
#AIEngineer
#LLM
#GenerativeAI
#FastAPI
#Qdrant
#VectorDatabase
#AIChatbot
#HybridSearch
#AIAgents
#MachineLearning
#OpenAI
#SaaS
#ArtificialIntelligence
#EnterpriseAI
#KnowledgeAssistant
#AIAutomation
#BackendEngineering
#SemanticSearch
#MLOps
#ConversationalAI
#IntelligentSystems
#DataEngineering
#WorkflowAutomation
#SearchTechnology
#DeepLearning
AI Algorithms
Large Language Model, Self-Organizing MapAI Applications
AI Chatbot, AIOps, Conversational AI, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAIAI Models
ChatGPT, GPT-4, WhisperWhat's included
| Service Tiers |
Starter
$500
|
Standard
$800
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 7 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | |||
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | |||
Model Deployment | - | - | - |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
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SL
Shi Wen L.
Jun 22, 2017
Make a Twitter scrape tool
Good, thanks!
AT
Abbas T.
Mar 3, 2017
Need an eBay API script to get item details in a CSV
FF
Faisal F.
Jul 13, 2016
Php scraper script
Highly recommended, best quality of work, and delivery of work in time.
AT
Anass T.
Apr 1, 2016
AngularJS navigation
About Muhammad
AI Engineer | AI Agents, LLM Applications & Business Automation
Erlangen, Germany - 7:38 am local time
With 12+ years of experience as a Senior Software Engineer, I've designed scalable backend systems and modern SaaS platforms from the ground up. Over the last few years, I've gone deep into AI agents, RAG applications, and intelligent automation — sitting at the rare intersection of cutting-edge AI and battle-tested software engineering.
Most AI engineers can build a proof of concept. I build what comes after that — systems that are reliable, maintainable, and ready to scale with your business.
What I can help you build
🔹 RAG Applications & Knowledge Assistants
AI systems that answer questions accurately using your own data—documents, databases, APIs, and internal knowledge.
🔹 AI Agents & Automation
Custom AI agents that automate workflows, interact with tools, call APIs, and reduce manual work across your business.
🔹 ETL Pipelines & APIs
Robust data pipelines and APIs that move, transform, and expose data reliably at scale.
🔹 Full-Stack AI Products
Clean backend architecture + intuitive frontend so your users actually enjoy using the system.
🔹 Cloud-Native, Scalable Systems
Dockerized, CI/CD-enabled deployments designed for growth and maintainability.
Tech I work with
Backend: Python, FastAPI, Node.js, NestJS
AI & RAG: LangChain, LangGraph, LLM APIs, Embeddings, Custom AI Agents, RAG Pipelines
Vector Databases: Milvus, Qdrant, ChromaDB
Automation: n8n, Workflow Automation
Databases: MongoDB, postgresql, MySQL, Redis
Frontend: Next.js / React Tailwind
DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins), Helm
Why Clients Choose Me
✔ Clean, maintainable code built for production — not just demos
✔ Rare combination of AI expertise and real-world software engineering
✔ Clear, proactive communication — no surprises, no chasing
✔ I think in business outcomes, not just technical features
If you’re looking for an AI developer who can design, build, and ship reliable AI solutions—not just talk about them—I’d love to help.
Let’s turn your idea into a working product.
#RAG, #RetrievalAugmentedGeneration, #AIEngineer, #LLM, #GenerativeAI, #FastAPI, #Qdrant,
#VectorDatabase, #AIChatbot, #HybridSearch, #AIAgents, #MachineLearning, #OpenAI, #SaaS, #ArtificialIntelligence, #EnterpriseAI, #KnowledgeAssistant, #AIAutomation, #BackendEngineering, #SemanticSearch, #MLOps, #ConversationalAI, #IntelligentSystems, #DataEngineering, #WorkflowAutomation, #SearchTechnology, #DeepLearning, #MCP, #Agents, #MultiAgent #n8n, #WorkflowAutomation, #KnowledgeMap #KnowledgeGraph
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
deployment
It will be deployed to client's provided environment.




