You will get a RAG Knowledge Base Assistant (Documents → Answers)
Top Rated
Top Rated
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, Keras, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$599
|
Standard
$999
|
Advanced
$1,999
|
|---|---|---|---|
| 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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HE
Hank E.
Oct 14, 2025
Fix the code with Zapier
MW
Michael W.
Oct 8, 2025
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Nice guy. Does what he says he is going to do.
FS
Felix S.
Sep 9, 2025
Conversational agent expert
MH
Mark H.
Mar 22, 2025
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Mark H.
Jan 18, 2025
Data Aggregation and Predictive Analytics for Golfing Website
Fantastic experience working with Shehryar and his team. He is extremely professional and dedicated to ensuring the project is completed, regardless of the time of night (for him)!!
About Shehryar
Voice AI Developer | Retell AI & Vapi | n8n | AI Receptionist
100%
Job Success
Lahore, Pakistan - 6:30 am local time
Whether you need an AI phone receptionist, an outbound speed-to-lead caller, or complex multi-agent workflows, I design low-latency conversational voice systems that integrate seamlessly with your CRM and backend via n8n, Claude, and custom APIs.
✔ Voice AI & Conversational Phone Systems
I build production-ready voice systems optimized for ultra-low latency, clean error handling, and high-converting phone interactions.
• Primary Platforms: Retell AI, Vapi, ElevenLabs, Deepgram, Twilio
• AI Phone Receptionists: Inbound call handling, FAQ answering, appointment scheduling, call routing
• Outbound Speed-to-Lead: Instant lead follow-ups, qualification calls, automated survey/feedback agents
• Real-Time Transcription & Speech: Whisper, Deepgram, Speech-to-Text & Text-to-Speech orchestration
✔ AI Automation & Workflow Orchestration
I build backend automation ecosystems that process call data, trigger instant actions, and sync CRMs in real time.
• Orchestration Platforms: n8n, Make, Zapier, Webhooks, Custom REST APIs
• CRM & System Sync: GoHighLevel (GHL), HubSpot, Google Workspace, Airtable, Notion
• Post-Call Workflows: Instant SMS/email notifications, call transcription summary extraction, automatic lead scoring
✔ Multi-Agent Systems & RAG Knowledge Bases
I develop autonomous AI agent architectures and RAG pipelines so your voice and text systems reason over your internal business data.
• AI Frameworks & Agents: LangChain, CrewAI, AutoGen, Custom AI Assistants
• Vector DBs & Search: Pinecone, Qdrant, ChromaDB, Document AI, Semantic Search
• Models: Claude (Anthropic), OpenAI GPT-4o, Custom Prompt Engineering
✔ Custom AI Backend Development
• Languages & Frameworks: Python, FastAPI, Flask, REST APIs
• Databases: PostgreSQL, MongoDB, Firebase
• Web Automation & Pipelines: Playwright, Selenium, BeautifulSoup, Telegram/WhatsApp Bots
Why Clients Hire Me:
✅ Production-ready Voice AI solutions, not fragile prototypes
✅ Clean, low-latency architecture built for high-volume calls
✅ Bulletproof n8n & API integrations for zero data loss
✅ Business-focused automation built for high ROI
Whether you need an AI Voice Receptionist, an n8n workflow pipeline, or a multi-agent system, I design, build, and deploy production-grade AI solutions tailored to your business.
Let’s connect to automate your operations and scale your phone calls on autopilot.
Steps for completing your project
After purchasing the project, send requirements so Shehryar can start the project.
Delivery time starts when Shehryar receives requirements from you.
Shehryar 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.