You will get custom RAG app using OpenAI and Langchain
Project details
I developed a custom AI chatbot for a client in the e-learning space that used Retrieval-Augmented Generation with OpenAI and Langchain to deliver accurate answers from their internal course materials. What set this project apart was its ability to dynamically pull real-time content from PDFs and video transcripts using semantic search, while maintaining user-specific context across sessions. Unlike generic chatbots, this one provided deeply personalized, verifiable responses, reducing support load by 70% and significantly improving learner engagement.
Whether it's improving customer support, streamlining internal workflows, or creating personalized user experiences, I design secure and scalable systems using OpenAI, Langchain, and vector search tools like FAISS or Chroma. I also ensure seamless integration with CRMs, databases, and messaging platforms, so your AI assistant doesn’t just talk, it takes action, drives efficiency, and delivers measurable results.
Whether it's improving customer support, streamlining internal workflows, or creating personalized user experiences, I design secure and scalable systems using OpenAI, Langchain, and vector search tools like FAISS or Chroma. I also ensure seamless integration with CRMs, databases, and messaging platforms, so your AI assistant doesn’t just talk, it takes action, drives efficiency, and delivers measurable results.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, BERT, ChatGPT, GPT-3, Keras, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, Scrapy, Tesseract OCR, Vertex AIWhat's included $300
These options are included with the project scope.
$300
- Delivery Time 7 days
- Number of Revisions 1
- Source Code
Optional add-ons
You can add these on the next page.
Fast 4 Days Delivery
+$100About Maaz
AI Engineer | GenAI, LLM & NLP Specialist | Custom Chatbots Expert
Lahore, Pakistan - 12:37 am local time
I build intelligent AI‑driven solutions that turn your biggest business challenges into seamless, scalable workflows. Recently, I developed an AI-powered, user-specific chatbot platform that helps businesses automate customer support and sales interactions in real time. By integrating LLMs, secure data pipelines, and custom NLP-driven chatbots, I built a solution that drastically reduced response times, improved accuracy, and personalized conversations for each user.
𝗠𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲:
Languages & Frameworks: Python, FastAPI, Langchain, Flask, PyTorch, TensorFlow
Large Language Models: GPT-4, GPT-4o, Gemini, Claude, Mixtral, LLaMA, etc.
Agentic AI Systems: CrewAI, AutoGen, LangGraph, AutoGPT
NLP & Text Intelligence: transformers, NER, summarization, QA systems, RAG pipelines
Generative AI: Prompt engineering, chatbots, document automation, content generation
Vector Databases & RAG: FAISS, Pinecone, Chroma, Qdrant
Voice AI & Multimodal: VAPI, LiveKit, OpenAI Whisper, Lava for voice/image interactions
Integrations: OpenAI API, HuggingFace, Google Vertex AI, Twilio, Firebase, Postgres, Redis
Monitoring: Prometheus, Grafana, Streamlit dashboards
Frontend: React, Next, Streamlit
✅𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗛𝗲𝗹𝗽 𝗬𝗼𝘂 𝗪𝗶𝘁𝗵:
-> LLM Integration: GPT-4o, Claude, Gemini, Mixtral, Ollama, Phi-3, LLaMA 3
-> Chatbots & AI Agents: Custom AI bots with Langchain, CrewAI, or AutoGen
->Train, fine-tune, or serve custom LLMs for domain-specific tasks
->Develop secure RAG systems using vector DBs like FAISS, ChromaDB, Pinecone
->Create enterprise-grade NLP pipelines with real-time data ingestion and insights
->Convert your AI prototype into a scalable production-grade system
->Automating complex workflows with multi-agent architectures
Let’s discuss how I can bring your AI vision to life.
📩Message me today to schedule a free consultation!
Steps for completing your project
After purchasing the project, send requirements so Maaz can start the project.
Delivery time starts when Maaz receives requirements from you.
Maaz works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Gathering
Development