You will get Generative AI applications using OpenAI, LangChain, and vector databases.
Top Rated
Project details
I will develop a custom Generative AI application using OpenAI, LangChain, and vector databases to help your business automate tasks, generate content, answer questions, and build intelligent AI-powered workflows.
This project can include AI chatbots, document Q&A systems, content generation tools, AI assistants, workflow automation, and RAG-based applications that connect to your own data sources, such as PDFs, websites, databases, FAQs, or knowledge bases.
I can integrate OpenAI models with LangChain workflows and vector databases like Pinecone, FAISS, ChromaDB, Weaviate, or Qdrant to create accurate, scalable, and context-aware AI applications.
You will receive a clean, reliable, and business-focused Generative AI solution designed according to your requirements, with setup guidance and support based on the selected package.
This project can include AI chatbots, document Q&A systems, content generation tools, AI assistants, workflow automation, and RAG-based applications that connect to your own data sources, such as PDFs, websites, databases, FAQs, or knowledge bases.
I can integrate OpenAI models with LangChain workflows and vector databases like Pinecone, FAISS, ChromaDB, Weaviate, or Qdrant to create accurate, scalable, and context-aware AI applications.
You will receive a clean, reliable, and business-focused Generative AI solution designed according to your requirements, with setup guidance and support based on the selected package.
Machine Learning Tools
Accord.NET Framework, Apache Mahout, Apache Spark MLlib, Azure Machine Learning, Caffe, ChatGPT, deeplearn.js, fastText, GitHub Copilot, GoLearn, Google Sheets, Kubeflow, Microsoft Excel, Microsoft Power BI, OpenCV, Python, Python Scikit-Learn, PyTorch, SQL, TensorFlow, Vertex AIWhat's included
| Service Tiers |
Starter
$499
|
Standard
$999
|
Advanced
$2,499
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 15 days |
Number of Revisions | 0 | Unlimited | Unlimited |
Number of Model Variations | 2 | 3 | 5 |
Number of Scenarios | 2 | 3 | 5 |
Number of Graphs/Charts | 2 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - | - |
Frequently asked questions
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YA
Yoana A.
Jul 16, 2026
£100 Paid 2-hour University Research Study for Freelancers Using AI for Collaborative Work
NG
Nagham G.
May 18, 2026
Senior ai/ml engineer
excellent
About Asad
Senior AI Engineer | LLM, RAG & AI Agents | Chatbots, Voice AI
100%
Job Success
London, United Kingdom - 4:45 am local time
As a Senior AI Engineer and AI Developer with 8+ years of experience , I don't hand over a working demo e system from architand disappear; I own thecture through production deployment and monitoring, so what you get is something your team can actually run on.
𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗:
1. 𝗟𝗟𝗠 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀
As an Agentic AI Engineer, I build custom LLM applications on GPT, Claude, LLaMA, and Mistral. AI agents built with LangChain and LangGraph don't just respond — they use tools, call APIs, and complete multi-step tasks on their own through prompt engineering and structured agent workflows.
2. 𝗥𝗔𝗚 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
As a RAG developer, I build retrieval-augmented pipelines on Pinecone, FAISS, Weaviate, ChromaDB, Milvus, and Qdrant — vector database work that lets your app answer from your own documents and data, accurately and resistant to hallucination.
3. 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 & 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜
As a chatbot developer, I build conversational AI assistants for web, Slack, WhatsApp, and Telegram, trained on your business data for customer support, sales, and internal tooling.
4. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻
As a computer vision engineer, I build object detection and image classification systems, deployed for real production use cases, not research notebooks.
5. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗡𝗟𝗣
As a generative AI developer and NLP engineer, I build text, image, and code generation systems, plus custom NLP pipelines for named entity recognition, sentiment analysis, classification, and summarization.
6. 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴, 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 & 𝗠𝗟𝗢𝗽𝘀
As an MLOps engineer, I handle domain-specific fine-tuning with LoRA, PEFT, and quantization, plus MLOps pipelines for monitored, scalable deployment — not a model that only works on my machine.
7. 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗜 𝗦𝗮𝗮𝗦
Beyond individual features, I build AI automation into full AI SaaS products — wiring LLMs, agents, and workflows directly into your platform's core, not bolted on as an afterthought.
𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞:
𝐀𝐈/𝐌𝐋: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face, Transformers
𝐋𝐋𝐌 & 𝐀𝐠𝐞𝐧𝐭𝐬: OpenAI API, Claude, LangChain, LangGraph, LlamaIndex
𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: CNN, RNN, LSTM, GANs, Autoencoders
𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: Pinecone, FAISS, Weaviate, Milvus, Qdrant
𝐂𝐥𝐨𝐮𝐝 & 𝐈𝐧𝐟𝐫𝐚: AWS, GCP, Azure, Docker, Kubernetes, CI/CD
𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, Next JS, FastAPI, Bash/Shell
𝗪𝗛𝗬 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛 𝗠𝗘:
✔ 8+ years of AI/ML engineering as a machine learning engineer — research background plus production engineering discipline
✔ End-to-end ownership: architecture, development, deployment, and monitoring, not just the model
✔ Scalable AI systems built for startups and enterprises alike
✔ Clean, documented, maintainable code — reviewed and handed off the way you'd want to inherit it
✔ Direct, plain-English communication and clear scoping before any work starts
𝗛𝗢𝗪 𝗪𝗘 𝗦𝗧𝗔𝗥𝗧:
1. Message me with what you're trying to build or fix
2. I'll respond with which approach actually fits your problem — not a generic pitch
3. We agree on scope and milestones, and I start
If you're building an LLM application, a RAG system, an AI agent, a chatbot, or a computer vision product, send me the brief and let's talk.
Steps for completing your project
After purchasing the project, send requirements so Asad can start the project.
Delivery time starts when Asad receives requirements from you.
Asad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review
I will review your project goal, required features, data sources, and preferred AI tools.
AI App Development
I will build the Generative AI application using OpenAI, LangChain, and the required vector database.