You will get Custom AI Chatbot Built with RAG & Knowledge Base Integration
Project details
Are you looking for a unique, intelligent AI chatbot that does more than just answer static questions? I’ll build you a custom RAG (Retrieval-Augmented Generation) chatbot that can use external APIs, private documents, or even smart tools like CSV agents and web search to deliver real-time, accurate responses.
Whether you choose the starter, standard, or advanced package, you'll get features like semantic search, contextual memory, and tool integration, all delivered in a clean, scalable, and production-ready setup.
🧰 Tools & Technologies Used
Frameworks: FastAPI, LangChain, Streamlit (optional for UI)
LLMs: OpenAI GPT, Gemini Pro, or your preferred model
Vector Stores: FAISS, ChromaDB, Pinecone (based on your data scale)
Embeddings: OpenAI Embeddings, Hugging Face Transformers
Tools Integration: CSV Agents, Web Search, Custom API Tools
Memory: LangChain Buffer/Token Memory, Conversation Summary Memory
Deployment: Localhost, Streamlit, or ready-for-cloud (Docker-ready)
Whether you choose the starter, standard, or advanced package, you'll get features like semantic search, contextual memory, and tool integration, all delivered in a clean, scalable, and production-ready setup.
🧰 Tools & Technologies Used
Frameworks: FastAPI, LangChain, Streamlit (optional for UI)
LLMs: OpenAI GPT, Gemini Pro, or your preferred model
Vector Stores: FAISS, ChromaDB, Pinecone (based on your data scale)
Embeddings: OpenAI Embeddings, Hugging Face Transformers
Tools Integration: CSV Agents, Web Search, Custom API Tools
Memory: LangChain Buffer/Token Memory, Conversation Summary Memory
Deployment: Localhost, Streamlit, or ready-for-cloud (Docker-ready)
AI Algorithms
Autoencoder, Convolutional Neural Network, CycleGAN, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Speech, Anomaly Detection, Conversational AI, Image Analysis, Image Upscaling, Image-to-Image Translation, Machine Translation, Natural Language Understanding, Neural Machine Translation, Speech Synthesis, Text RecognitionAI Development Language
PythonAI Tools
Hugging Face, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 1 | 3 |
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 |
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JP
Jessica P.
Feb 17, 2026
Fix My Python AI/ML Script Errors Quickly
Excellent work delivered on time. Very professional and skilled freelancer.
ON
Oliver N.
Jan 7, 2026
Python AI Engineer for LangChain Search & Retrieval Agent
Great experience working with Yasir. Clear communication, strong understanding of requirements, and excellent skills in AI agents with LangChain
About Yasir
Full-Stack AI/ML Engineer | GenAI, RAG, AI Agents, MLOps, FastAPI
67%
Job Success
Lahore, Pakistan - 8:24 am local time
I'm Yasir Wali, an AI/ML Engineer specializing in Generative AI, LLMs, AI agents, ML pipelines, and full-stack AI deployment. My focus is on creating scalable, reliable, and actionable AI systems that work in real environments, automate workflows, and solve real business problems.
🤖 AI Agents and Workflow Automation
I design autonomous AI agents and multi-agent workflows using LangChain, LangGraph, and n8n:
✔ Automate multi-step workflows end to end
✔ Retrieve, process, and manage data intelligently
✔ Make decisions and execute tasks independently
✔ Integrate seamlessly with APIs, databases, and business tools
💬 RAG Systems, Chatbots and LLM Applications
I build RAG-based AI assistants and custom chatbots powered by LLMs:
✔ Understand and summarize documents
✔ Answer complex queries accurately
✔ Integrate with internal tools and external APIs
✔ Fine-tuned for domain-specific knowledge using LoRA and PEFT
These solutions turn raw company data into intelligent knowledge systems.
🧠 Machine Learning and Deep Learning
I develop models across NLP, computer vision, and structured data:
✔ NLP: sentiment analysis, summarization, language modeling
✔ Computer Vision: image classification, object detection, CNNs
✔ Predictive Analytics: Random Forest, XGBoost, LSTMs, Transformers
All models are optimized for production with robust evaluation, hyperparameter tuning, and performance monitoring.
⚙️ MLOps and Production Pipelines
I create production-grade ML pipelines covering the full lifecycle:
✔ Data collection, cleaning, and feature engineering
✔ Experiment tracking with MLflow and DVC
✔ Containerized deployment with Docker and CI/CD
✔ Cloud deployment on AWS, GCP, Render, and Vercel
✔ Monitoring, logging, and drift detection for long-term reliability
🖥️ Full-Stack AI Application Development
I integrate AI systems into real-world applications:
✔ Backend and APIs: FastAPI, Flask
✔ Frontend: React
✔ Desktop apps: Electron
✔ Databases and Vector DBs: SQL, MongoDB, FAISS, ChromaDB
Your AI systems become accessible, scalable, usable products, not just models sitting in a notebook.
🛠️ Tools and Technologies
Python, JavaScript, R, LangChain, LangGraph, n8n, RAG, OpenAI, Gemini, Hugging Face, PyTorch, TensorFlow, scikit-learn, FAISS, ChromaDB, MLflow, DVC, Docker, CI/CD, FastAPI, Flask, React, Electron, SQL, MongoDB, AWS, GCP, Render, Vercel, Pandas, NumPy, Data Visualization, Hyperparameter Tuning, Model Monitoring
🎯 Why Work With Me
Most AI freelancers either build models or deploy apps. I do both:
✔ Full stack coverage from raw data to fine-tuned LLM to deployed product
✔ Clean, maintainable code built for scale
✔ Clear communication throughout the project
✔ Systems designed for measurable business impact, not just demos
If you need an AI system built right, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Yasir can start the project.
Delivery time starts when Yasir receives requirements from you.
Yasir works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze Requirements & Recommend Tech Stack
I thoroughly review your project requirements to understand your goals and use case. Based on this, I recommend the most suitable architecture, tools, and frameworks. This ensures the chatbot is optimized for performance, scalability, and integration