You will get A Custom AI Chatbot With RAG For Your SaaS or Web Applications
Project details
Transform your application with a powerful AI chatbot tailored to your business needs. I will build a custom AI assistant powered by Retrieval-Augmented Generation (RAG) that can answer questions using your documents, knowledge base, website content, PDFs, databases, or internal resources.
What You'll Get
✔ Custom AI chatbot integrated into your SaaS or web application
✔ RAG-powered knowledge retrieval for accurate, context-aware responses
✔ Integration with OpenAI, Anthropic, Gemini, or other LLM providers
✔ Document ingestion from PDFs, websites, databases, APIs, and more
✔ Chat history and conversation management
✔ Responsive and user-friendly chat interface
✔ API integration and deployment support
✔ Vector database setup
💡 Technologies
Python, FastAPI, Flask, Node.js
LangChain, LlamaIndex
OpenAI GPT, Claude, Gemini
Pinecone, ChromaDB, Weaviate, FAISS
React, Next.js, JavaScript, TypeScript
Whether you need a simple AI assistant or a production-ready enterprise chatbot, I will deliver a scalable, secure, and high-performing solution customized for your business requirements.
📩 Kindly provide your website/app details, knowledge base, and preferred AI model.
What You'll Get
✔ Custom AI chatbot integrated into your SaaS or web application
✔ RAG-powered knowledge retrieval for accurate, context-aware responses
✔ Integration with OpenAI, Anthropic, Gemini, or other LLM providers
✔ Document ingestion from PDFs, websites, databases, APIs, and more
✔ Chat history and conversation management
✔ Responsive and user-friendly chat interface
✔ API integration and deployment support
✔ Vector database setup
💡 Technologies
Python, FastAPI, Flask, Node.js
LangChain, LlamaIndex
OpenAI GPT, Claude, Gemini
Pinecone, ChromaDB, Weaviate, FAISS
React, Next.js, JavaScript, TypeScript
Whether you need a simple AI assistant or a production-ready enterprise chatbot, I will deliver a scalable, secure, and high-performing solution customized for your business requirements.
📩 Kindly provide your website/app details, knowledge base, and preferred AI model.
Machine Learning Tools
Amazon SageMaker, AnyLogic, Apache Spark, Apache Spark MLlib, Azure Machine Learning, BERT, ChatGPT, Databricks Platform, Databricks MLflow, Keras, Kubeflow, MLflow, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, RapidMiner, scikit-learn, TensorFlow, Tesseract OCR, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$350
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 1 day | 5 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 10 | 20 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Frequently asked questions
About Vishwajeet
Full Stack Python, Backend API, Frontend, Machine Learning, Automation
Jamui, India - 8:33 am local time
💡 I help businesses unlock actionable insights, automate workflows, optimize operations, and drive growth by building scalable AI solutions, interactive dashboards, predictive models, data-driven and ai applications.
🎯 Core Skills
✔ AI Agents + MCP Integration
✔ RAG Applications + Vector Databases
✔ AI Workflow Automation (n8n + LLMs)
✔ Enterprise Knowledge Base Chatbots
✔ Multi-Agent Systems for Sales & Operations
✔ AI-Powered SaaS Features
✔ AWS Deployment & LLMOps
I help startups, SMBs, and enterprises automate processes, uncover actionable insights, improve operational efficiency, and make data-driven decisions through modern AI and analytics solutions. I have been delivered the following projects-
➤ AI Customer Support Agent
➤ AI Sales Prospecting Agent
➤ AI Research Assistant
➤ AI Document Processing & RAG System
➤ Multi-Agent Business Automation
➤ Knowledge Base Chatbot with Vector Search
➤ AWS-Deployed Enterprise AI Agents
📊 Transforming Data into Revenue through AI-Powered Applications, Business Intelligence Dashboards, Advanced Analytics, Machine Learning, and Process Automation.
I am experience in Data Science, Business Intelligence, and Full-Stack Development, I specialize in building scalable AI solutions, executive dashboards, predictive analytics models, and automated data workflows. My expertise spans Python, SQL, Machine Learning, Generative AI, Power BI, Looker Studio, Tableau, Grafana, React, Node.js, and cloud platforms.
✅ Business Intelligence Dashboards (Python, Power BI, Tableau, Looker, Kibana, Grafana)
✅ Data Analysis, Data Visualization & KPI Reporting
✅ Machine Learning & Predictive Analytics
✅ AI Applications, LLMs, RAG Systems & AI Agents
✅ Python Development & Automation
✅ ETL Pipelines, Data Engineering & SQL Optimization
✅ SaaS Application Development
✅ REST API Development & Integration
✅ Real-Time Analytics & Monitoring Solutions
🏢 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦
Healthcare, Finance & FinTech, E-commerce, Real Estate, Education, Legal Tech, Marketing & Sales, Logistics & Supply Chain, Human Resources, Customer Support, Manufacturing, SaaS Startups & Enterprises
Keywords: Data Scientist, AI Developer, Machine Learning Engineer, Business Intelligence Developer, Power BI Expert, Dashboard Developer, Python Developer, Data Analyst, AI Agent Developer, Generative AI, ChatGPT, OpenAI, RAG, ETL, SQL, Data Engineering, SaaS Development, Analytics Consultant, KPI Dashboard, Data Visualization, Backend Engineer, Full Stack Developer, API Integration, AI Engineer, MCP Server, LLM Apps, RAG Pipeline, Vector Database, Graph Database, LangChain, LangGraph, GraphRAG, LangSmith,
Tech Stack:
🤖 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
Python, R, SQL, Jupyter, Google Colab.
Pandas, NumPy, SciPy, Polars, Dask.
Scikit-learn, XGBoost, LightGBM, CatBoost.
TensorFlow, Keras, PyTorch, Hugging Face Transformers.
Predictive Analytics, Classification, Regression, Clustering, Recommendation Systems.
Feature Engineering, Model Training, Hyperparameter Tuning, Model Optimization.
NLP, Computer Vision, Time Series Forecasting, Anomaly Detection.
MLflow, Weights & Biases, Airflow, Docker, Kubernetes.
AWS SageMaker, Vertex AI, Azure ML, Databricks.
MLOps, Model Deployment, Monitoring, Automated ML Pipelines.
A/B Testing, Statistical Analysis, Experimentation & Decision Intelligence.
📊 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 & 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻
Power BI, Tableau, Looker, Looker Studio, Qlik Sense.
Executive Dashboards, KPI Tracking, Business Intelligence, Data Storytelling.
Real-Time Analytics, Performance Monitoring, Forecasting & Trend Analysis.
D3.js, Plotly, Chart.js, Highcharts, ECharts, Grafana, Metabase.
SQL, BigQuery, Snowflake, Redshift, PostgreSQL, MySQL Integrations.
Automated Reporting, ETL Pipelines, Interactive Visualizations & Self-Service Analytics.
🧠 𝗔𝗜 𝗔𝗽𝗽 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁
OpenAI, Claude, Gemini, Llama, Mistral, Grok.
LangChain, LangGraph, CrewAI, AutoGen, OpenClaw, MCP.
RAG, AI Agents, Multi-Agent Systems, Agentic Workflows.
Vector Databases: Pinecone, Weaviate, Chroma, FAISS, Qdrant.
Prompt Engineering, Fine-Tuning, Function Calling, Structured Outputs.
FastAPI, Django, Flask, Node.js, Next.js, React, TypeScript.
OpenAI Realtime API, Twilio, ElevenLabs, Deepgram, AssemblyAI.
Chatbots, Voice AI Agents, AI Assistants, Knowledge Bases.
AWS, Azure, GCP, Docker, Kubernetes, CI/CD.
LLM Evaluation, Guardrails, Monitoring, Observability & Production Deployment.
SaaS AI Platforms, Workflow Automation, Enterprise AI Solutions.
💡 I can handle everything from planning and development to deployment, so you don’t need to manage multiple freelancers.
If you’re looking for an independent developer who can turn your idea into a working product.
Let’s discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Vishwajeet can start the project.
Delivery time starts when Vishwajeet receives requirements from you.
Vishwajeet works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Gathering
Understand your business goals, use case, data sources, and integration requirements.
Knowledge Base & RAG Setup
Connect PDFs, websites, databases, APIs, or internal documents and configure vector storage.