You will get Website RAG Chatbot with citations (Python + Vector DB)
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Project details
I will build a production-ready FastAPI microservice that’s Docker-ready and easy to run locally or deploy. You’ll get clean REST endpoints, OpenAPI/Swagger docs, structured request/response models, and a simple project layout that your team can maintain. I also include basic auth (if needed), input validation, logging, and tests so you’re not shipping “it works on my machine” code. Final delivery includes Dockerfile + docker-compose, environment config template, and a short runbook so you can start it with one command and hand it off confidently.
Machine Learning Tools
Apache Spark, BERT, ChatGPT, MLflow, NLTK, NumPy, pandas, Python, PyTorch, SQL, Tesseract OCR, Vertex AIWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 2 | 3 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 0 | 0 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $120
Additional Revision
+$25
Additional Model Variation
(+ 1 Day)
+$60
Additional Scenario
(+ 1 Day)
+$40
Extra Data Source Connect
(+ 2 Days)
+$120
Deploy + Handover Pack
(+ 2 Days)
+$150Frequently asked questions
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MS
Muhammad S.
Aug 4, 2026
Senior AI Python Engineer for Pharmaceutical Regulatory Intelligence & Drug Safety Platform
Ahmad delivered outstanding work with strong AI and Python expertise, excellent communication, and timely delivery—highly recommended.
JA
James A.
Jul 30, 2026
AI Automation Expert for Logistics Dispatch & Shipment Update Workflow
We are extremely pleased with the quality of work provided. The freelancer was patient, responsive, and dedicated to delivering the best possible results.
TA
Tahira A.
Jul 3, 2026
Al Voice Agent Developer Needed for Inbound & Outbound Call Automation
Great work, the AI call automation was completed smoothly and worked exactly as needed.
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Ghulam Y.
Jun 11, 2026
Senior AI Python Engineer needed for Enterprise Threat Detection & Security Intelligence Platform
Ahmad is an outstanding Senior AI Python Engineer whose deep expertise in AI, cybersecurity, and scalable enterprise solutions resulted in a high-performance Security Intelligence Platform that exceeded all expectations.
DS
David S.
Jun 4, 2026
Build Multi-Tenant Fintech AI SaaS Platform for Financial Operations & Workflow Automation
Great work on our fintech platform. He built a solid backend, handled multi-tenant setup and AI automation really well, and improved our overall workflow. Communication was smooth and delivery was reliable. Would work again.
About Ahmad
AI Python Engineer | RAG Chatbots + Agents | LangChain, FastAPI, SQL
100%
Job Success
Bahawalpur, Pakistan - 6:51 am local time
Typical work I deliver:
RAG assistants for docs/knowledge bases (embeddings, vector DB, citations, metadata filtering)
AI agents that call tools (APIs, SQL/Postgres, webhooks) to complete multi-step workflows with guardrails + fallbacks
FastAPI backends for AI products (structured JSON responses, background jobs, clean integration)
Data extraction pipelines when needed (OCR + parsing + normalization)
How I build it (so it doesn’t break later):
Start with a small first milestone: one end-to-end flow on your real examples
Add measurable checks: retrieval quality, schema validation, safe SQL/tool execution, and “I don’t know” behavior when context is missing
Keep cost + latency practical: caching where it helps, prompt versioning, and predictable output schemas
Ship with maintainability: clean code, Dockerized setup, and a short runbook your team can operate
Stack I work with: Python, FastAPI, LangChain/LangGraph, OpenAI-compatible LLMs, SQL/PostgreSQL, Docker, and vector databases (FAISS/pgvector/Pinecone-style). I can also support ML/DL (PyTorch) and computer vision when the project needs it, but my day-to-day work is building LLM systems that integrate into real products.
If you share your brief + sample data, I’ll propose a practical first milestone, timeline, and what “done” looks like. I’m comfortable with self-hosted setups (privacy constraints), and can deploy on Docker/cloud as required. I also add basic monitoring hooks so failures surface early (logs, alerts, and simple dashboards). Open to a quick call to align on scope and success metrics.
Steps for completing your project
After purchasing the project, send requirements so Ahmad can start the project.
Delivery time starts when Ahmad receives requirements from you.
Ahmad works on your project following the steps below.
Revisions may occur after the delivery date.
Scope + Success Criteria
Confirm sources, target pages, tone, and “done” metrics (accuracy, completeness, latency).
Ingestion + Index Setup
Clean text, chunking strategy, embeddings, and vector DB setup (with metadata + filters).