You will get a RAG Knowledge Base Assistant (Documents → Answers)
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Project details
I will build a RAG-powered AI assistant that answers questions from your documents with accurate, citation-backed responses. Perfect for SOPs, internal knowledge bases, healthcare, legal workflows, product manuals, and enterprise automation.
Your assistant will use LangChain + FAISS/Pinecone and support multi-turn, context-aware reasoning.
Your assistant will use LangChain + FAISS/Pinecone and support multi-turn, context-aware reasoning.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation SystemAI Tools
Amazon SageMaker, Azure Machine Learning, Google AutoML, MLflow, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$599
|
Standard
$999
|
Advanced
$1,799
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 10 days |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
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AF
Angela F.
May 5, 2026
AI Platform Developer
Truly amazing work, it was such a pleasure working with Turyal and I would use him for any future development needs. Thank you so much, Turyal!
AF
Angela F.
May 5, 2026
AI Platform Developer
Turyal has been nothing short of amazing to work with, thank you so much.
MC
Maxim C.
May 4, 2026
Voice AI Systems Architect
KH
Kevin H.
Feb 9, 2026
LangGraph-Based Conversational Agent & ChatUI Development
AA
Angela A.
Jan 7, 2026
Senior Voice-AI Engineer (Genesys Cloud + ElevenLabs)
Excellent work, thank you so much.
About Turyal
AI Engineer | RAG & LangGraph | Azure OpenAI, LangChain, Multi-Agent
97%
Job Success
Lahore, Pakistan - 5:47 am local time
I have delivered over 50 AI solutions across real estate, SaaS, healthcare and marketing.
Not prototypes. Production systems.
The kind that run daily, process hundreds of records and do not need me babysitting them.
Clients describe me as committed to quality, clear in communication and someone who defines the right architecture before writing a single line of code.
𝗚𝗼𝘁 𝗮𝗻 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘁𝗵𝗮𝘁 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝗯𝗲 𝗯𝘂𝗶𝗹𝘁 𝗽𝗿𝗼𝗽𝗲𝗿𝗹𝘆? 𝗛𝗶𝘁 𝗜𝗻𝘃𝗶𝘁𝗲.
Let's figure out the right architecture together.
𝗥𝗲𝗰𝗲𝗻𝘁 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:
Automated 235+ daily CRM records for a real estate firm using AI powered inbound calling agent and multi-agent LangGraph orchestration.
Built a Retrieval-Augmented Generation (RAG) knowledge assistant on Azure OpenAI for a healthcare SaaS platform.
Worked as a Senior Voice-AI system engineer, integrated Retell and ElevenLabs for an enterprise medical company.
Fine-tuned Meta MusicGen on a 30,000 track sonic library using PyTorch and Hugging Face, deployed on AWS/GCP.
If any of that matches what you are trying to build, send me an invite.
I respond within 0 to 4 hours.
𝗠𝘆 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻:
LLM & AI Core
LangChain, LangGraph, GPT-4, Azure OpenAI Service, Retrieval-Augmented Generation (RAG), LLM Prompt Engineering
Voice & Conversational AI
Conversational AI, Natural Language Processing, Twilio API, AI Agent Development
Automation & Workflows
n8n, Make, Zapier, GHL, Airtable and Business Process Automation
ML & Deep Learning
PyTorch, Hugging Face, Deep Learning, Computer Vision
Cloud & Infrastructure
Microsoft Azure, AWS, GCP, CI/CD
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Use these keywords to find me
Keywords: Artificial Intelligence, Machine Learning, Python, LangChain, LangGraph, LLM Prompt Engineering, Retrieval-Augmented Generation, RAG, Azure OpenAI Service, Azure Cognitive Services, Microsoft Azure, GPT-4, Natural Language Processing, Natural Language Understanding, Chatbot Development, AI Chatbot, Conversational AI, Voice AI, Twilio API, AI Agent Development, API Integration, API Development, Automation, n8n, Make, Zapier, Airtable, Business Process Automation, Multi-Agent Systems, Generative AI, Generative Models, Hugging Face, PyTorch, TensorFlow, Deep Learning, Computer Vision, OpenCV, LlamaIndex, Semantic Search, Microsoft Graph API, Outlook API, SaaS, Cloud Computing, AWS, GCP, Google Cloud Run, Next.js, Vercel, Docker, React, JavaScript, AI Builder, AI Model Integration, Web API, Botpress, Voiceflow, Stack AI, Nanonets, Microsoft 365 Copilot, Stable Diffusion, Audio Processing, Music Generation, Database Architecture, Architecture Consultation
Steps for completing your project
After purchasing the project, send requirements so Turyal can start the project.
Delivery time starts when Turyal receives requirements from you.
Turyal works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Setup
I'll review your documents, define the RAG pipeline, and set up vector indexing.
Build RAG Assistant
I implement embeddings, retrieval logic, UI (if included), and citation support.