You will get a RAG knowledge base with Pinecone, LangChain and AI chat UI
Project details
Your team spends hours searching PDFs, Notion pages, SOPs, and Drive folders for answers that should take seconds. I build production-grade RAG knowledge systems on Pinecone plus LangChain with a clean chat interface so anyone can ask a question and get a sourced, accurate answer instantly.
I'm Kashif — AI Implementation Expert. 110+ projects shipped, 60+ clients across 5 continents, 95% on-time delivery. My RAG systems run across customer support, internal help desks, sales enablement, legal review, and product documentation.
What you get:
→ Document ingestion pipeline (PDF, DOCX, CSV, HTML, Notion, Confluence, Google Drive)
→ Smart chunking plus metadata tagging for accurate retrieval
→ Embeddings via OpenAI, Cohere, or open-source models
→ Pinecone serverless vector DB (Chroma, Qdrant, pgvector alternatives available)
→ Grounded answers with inline source citations, zero hallucinated facts
→ Chat UI: Streamlit, Next.js, Slack bot, Teams bot, or embedded website widget
→ Auto-reindexing when your source documents change
Message me before ordering for a free 15-min discovery call. I will run a sample query against your actual documents live on the call.
I'm Kashif — AI Implementation Expert. 110+ projects shipped, 60+ clients across 5 continents, 95% on-time delivery. My RAG systems run across customer support, internal help desks, sales enablement, legal review, and product documentation.
What you get:
→ Document ingestion pipeline (PDF, DOCX, CSV, HTML, Notion, Confluence, Google Drive)
→ Smart chunking plus metadata tagging for accurate retrieval
→ Embeddings via OpenAI, Cohere, or open-source models
→ Pinecone serverless vector DB (Chroma, Qdrant, pgvector alternatives available)
→ Grounded answers with inline source citations, zero hallucinated facts
→ Chat UI: Streamlit, Next.js, Slack bot, Teams bot, or embedded website widget
→ Auto-reindexing when your source documents change
Message me before ordering for a free 15-min discovery call. I will run a sample query against your actual documents live on the call.
AI Algorithms
Feedforward Neural Network, Large Language Model, Long Short-Term Memory Network, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated Code, Automatic Speech Recognition, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-Neo, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$1,500
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 28 days |
Number of Revisions | 3 | 5 | 8 |
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 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100Frequently asked questions
About Kashif
AI Implementation Expert | n8n, Voice AI, RAG & Workflow Automation
Rawalpindi, Pakistan - 5:04 pm local time
I've shipped 110+ AI and automation projects for 60+ clients across 5 continents: SaaS companies, marketing agencies, e-commerce brands, and healthcare businesses. My 95% on-time delivery rate is due to careful scoping and constant communication.
My background in marketing operations means I don't just wire tools together. I build systems around how your business actually acquires and retains customers. I understand lead funnels, customer acquisition costs, and retention metrics, not just the technical side.
𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱
AI Agents: Multi-agent systems using LangChain, LangGraph, and CrewAI that reason, route, and take action across your stack. I've cut manual processing time by 60% for clients through intelligent automation.
RAG Pipelines: Knowledge systems with Pinecone that connect your internal docs, CRM data, or product knowledge to AI interfaces. I've built retrieval systems handling 10,000+ documents with sub-second response times.
Voice AI: Inbound and outbound call agents using Vapi and ElevenLabs. I've deployed voice automation handling 500+ calls daily with 40% cost reduction compared to traditional support.
Workflow Automation: Lead routing, enrichment pipelines, and cross-platform sync using n8n, Make, Zapier, and GoHighLevel. I've built automated pipelines processing 1,000+ leads per day with 95% data accuracy.
MCP and API Integration: Connecting AI models to internal tools, HubSpot, Salesforce, and custom endpoints. Clean integrations that unify your existing tech stack with intelligent capabilities.
𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸
Every project starts with a scoping call where I map your current process, identify what to automate, and define what success looks like in measurable terms. No vague promises.
I specialize in 4-12 week implementation projects for growth-stage SaaS companies, professional services firms, and e-commerce brands that have executive buy-in and need an execution partner. I'm not the right fit for early exploration or pure research I deliver production-ready systems that integrate with your existing operations.
I respond to all inquiries within 24 hours and offer initial feasibility discussions at no cost. Share your current challenge in a message, and I'll give you a straight answer on approach and timeline.
Steps for completing your project
After purchasing the project, send requirements so Kashif can start the project.
Delivery time starts when Kashif receives requirements from you.
Kashif works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery Call and Scope Definition
30-minute call to review your documents, discuss use cases, choose the tech stack (LLM, embedding model, vector DB, chat interface), define success metrics, and agree on timeline. Free, no commitment.
Document Ingestion and Chunking Pipeline
I build the data pipeline that reads your documents, splits them into smart chunks with metadata tags, generates embeddings, and loads everything into Pinecone. You see a progress update with doc count.