You will get Production RAG System: Chat With Your Documents (LLM + Vector DB)
Project details
You'll get a production RAG system that lets users ask questions and get accurate, sourced answers from your own documents — not generic AI guesses.
Most "AI chatbot for your docs" builds fail in two places: poor chunking and no grounding, so the bot invents answers. I focus on both. Your documents are parsed and chunked properly, embedded, and stored in a vector database, so retrieval returns genuinely relevant context — and every answer cites its source, so your team can trust and verify it.
You'll receive a working pipeline (ingestion → embedding → retrieval → generation), a clean API your app can call, source citations on every answer, and a short handover doc. I match the model and vector database to your accuracy, latency, and budget needs rather than defaulting to the most expensive option.
7+ years building Python and AI systems. Let's scope it on a quick message.
Most "AI chatbot for your docs" builds fail in two places: poor chunking and no grounding, so the bot invents answers. I focus on both. Your documents are parsed and chunked properly, embedded, and stored in a vector database, so retrieval returns genuinely relevant context — and every answer cites its source, so your team can trust and verify it.
You'll receive a working pipeline (ingestion → embedding → retrieval → generation), a clean API your app can call, source citations on every answer, and a short handover doc. I match the model and vector database to your accuracy, latency, and budget needs rather than defaulting to the most expensive option.
7+ years building Python and AI systems. Let's scope it on a quick message.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Azure Machine Learning, BERT, ChatGPT, fastText, Google AutoML, GPT-3, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, SciPy, Sonnet, Stanford CoreNLP, TensorFlow, TextBlob, Vertex AI, Word2vecWhat's included
| Service Tiers |
Starter
$450
|
Standard
$950
|
Advanced
$1,800
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 0 | 1 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $300
Additional Revision
+$60
Source Code
(+ 2 Days)
+$150Frequently asked questions
4 reviews
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HS
Heiko S.
Jul 10, 2026
AI Workflow Engineer – Deterministic FSM Intake System (Cost-Controlled)
Jazay was a reliable and dedicated member of our engineering team. He consistently approached tasks with a positive attitude, communicated well, and was always willing to take on new technical challenges as the project evolved.
He contributed to the development of our Resonance platform, worked collaboratively with the rest of the team, and was responsive to feedback throughout the engagement. I appreciated his professionalism, commitment, and willingness to help move the project forward.
I look forward to working with Jazay again soon and would be happy to recommend him to other clients looking for a dependable software engineer. I wish him continued success on Upwork.
He contributed to the development of our Resonance platform, worked collaboratively with the rest of the team, and was responsive to feedback throughout the engagement. I appreciated his professionalism, commitment, and willingness to help move the project forward.
I look forward to working with Jazay again soon and would be happy to recommend him to other clients looking for a dependable software engineer. I wish him continued success on Upwork.
SE
Sean E.
Jun 7, 2026
Looking for Senior AI Backend Engineer – Conversational AI Platform
Jazay was great to work with again. He brings a strong mix of technical expertise, adaptability and clear communication, and was a trusted partner throughout the project. He stayed solution oriented from scoping through delivery, took ownership of outcomes, and kept things moving without overcomplicating the process. Would highly recommend reaching out and leaning on him for your project.
SE
Sean E.
Sep 13, 2024
Chatbot Pt 3
Jazay provides a rare combination of expertise, adaptability and quality of work. We built a dynamic LLM chatbot with custom logs, admin panels, prompt inputs - and Jazay was a trusted partner from scoping to go-live. Would highly recommend reaching out and leaning on him for your project!
SE
Sean E.
Jun 15, 2024
Chatbot Pt 2
Jazay provided a rare combination of expertise and high quality execution. He provided detailed, realistic and reasonable scopes of work - and helped build an LLM architecture with multiple complex requirements. Highly recommend choosing Jazay if you’re looking for a trustworthy development partner.
About Jazay
Expert in LLM Integration & AI Systems, RAG
100%
Job Success
Peshawar, Pakistan - 11:37 pm local time
—
Hi, I’m Jazay an AI and backend engineer with over 7 years of experience. I’ve led AI initiatives in property tech and customer service, delivering real-world systems. At TalentPop, I turned cutting-edge AI into daily-use applications.
I have built systems for large language models, retrieval-augmented generation, and full-stack Python development. Each project contributes to measurable business goals such as lower response times and reduced manual work. I ensure my AI systems are connected to outcomes before deployment.
Collaborate with me for production-ready AI solutions that streamline operations and utilize data effectively. My approach combines robust technical skills with a strong business focus, using tools such as AWS, Docker, and CI/CD for deployment.
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**Skills and Descriptions:**
– 🤖 **Generative AI Development:** Building AI applications that automate tasks and improve efficiency, transforming operations across industries.
– **LLM Integration:** Expert in integrating OpenAI, Claude, and other LLMs into workflows for enhanced functionality.
– **Python Backend Development:** Specializing in building scalable backend systems using Python frameworks like FastAPI and Django.
– **RAG Systems Integration:** Designing retrieval-augmented generation systems using vector databases for quick and accurate information retrieval.
– **AI Agent Development:** Creating autonomous AI systems capable of complex reasoning, API calls, and decision-making in real-time.
– **Production Deployment:** Ensuring reliable AI systems through deployment on AWS, using Docker and CI/CD pipelines.
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**Let’s discuss your next AI project and turn your ideas into powerful solutions. Contact me to get started today!**
Steps for completing your project
After purchasing the project, send requirements so Jazay can start the project.
Delivery time starts when Jazay receives requirements from you.
Jazay works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & document review
We confirm scope on a short call, and I review your documents and example questions to plan the right chunking and retrieval approach.
Connect the LLM & add citations
I wire up the language model to answer using only retrieved context, with source citations on every answer so results are verifiable.