You will get Custom AI Knowledge Base with RAG Integration
Top Rated
Top Rated
Project details
Build a Custom AI Knowledge Base System with RAG (Retrieval-Augmented Generation) integration to help businesses efficiently manage, search, and interact with large volumes of documents and internal knowledge. This AI-powered solution enables users to ask natural language questions and receive accurate, context-aware responses generated from your own data sources.
The platform is designed using modern AI technologies including OpenAI APIs, vector databases, FastAPI, and scalable cloud infrastructure. It supports intelligent document retrieval, semantic search, conversational AI, and secure knowledge management for startups, SaaS platforms, customer support teams, and enterprise organizations.
Services Included
✔ AI Knowledge Base Development
✔ RAG (Retrieval-Augmented Generation) Integration
✔ OpenAI / GPT Integration
✔ AI Chatbot & Knowledge Assistant
✔ Vector Database Setup
✔ Semantic Search Implementation
✔ PDF & Document Processing
✔ FastAPI Backend Development
✔ REST API Integration
✔ User Authentication System
✔ Admin Dashboard Development
✔ Multi-Document Knowledge Retrieval
✔ Cloud Deployment (AWS/GCP/VPS)
✔ SaaS Platform Development
✔ Performance Optimization & Security
The platform is designed using modern AI technologies including OpenAI APIs, vector databases, FastAPI, and scalable cloud infrastructure. It supports intelligent document retrieval, semantic search, conversational AI, and secure knowledge management for startups, SaaS platforms, customer support teams, and enterprise organizations.
Services Included
✔ AI Knowledge Base Development
✔ RAG (Retrieval-Augmented Generation) Integration
✔ OpenAI / GPT Integration
✔ AI Chatbot & Knowledge Assistant
✔ Vector Database Setup
✔ Semantic Search Implementation
✔ PDF & Document Processing
✔ FastAPI Backend Development
✔ REST API Integration
✔ User Authentication System
✔ Admin Dashboard Development
✔ Multi-Document Knowledge Retrieval
✔ Cloud Deployment (AWS/GCP/VPS)
✔ SaaS Platform Development
✔ Performance Optimization & Security
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$25
|
Standard
$250
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 1 day | 7 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 1 | 5 | 10 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code |
Frequently asked questions
1 review
(1)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
DF
Danisavage F.
Aug 14, 2025
Spam detection and email analytics dashboard
About Indumati
Data Engineer | Python, AI/ML, Power BI, ETL/ELK, Neo4j, SQL, AWS, API
100%
Job Success
Jamui, India - 9:44 am local time
🚀 I am specializing in LLMs, RAG Systems, AI Agents, and Generative AI Applications.
💡 Helping startups and businesses build production-ready intelligent, scalable, data-driven, and AI-powered solutions—from machine learning models and LLM applications to data engineering, automation, and full-stack SaaS platforms—designed for performance, reliability, and growth.
🎯 Focus: Designing, developing, and deploying scalable AI solutions that drive automation, intelligence, operational efficiency, and business growth.
I help businesses transform data into intelligent applications, automated workflows, and interactive analytics platforms. With expertise in AI/ML, data engineering, and modern visualization technologies, I build scalable solutions that convert complex data into actionable insights.
Core Skills
• Python Development
• Artificial Intelligence & Machine Learning
• Generative AI & LLM Applications
• Data Analytics & Business Intelligence
• Graph Databases & Knowledge Graphs
• Interactive Data Visualization
• Cloud Data Engineering
• API Development & Integration
• AI Automation & Workflow Optimization
Tech Stack
Programming & Backend
• Python
• FastAPI
• REST APIs
• SQL
AI & Machine Learning
• OpenAI
• Claude
• LangChain
• RAG Pipelines
• AI Agents
• Vector Databases
• NLP
• Predictive Analytics
Data Analytics
• BigQuery
• Neo4j
• Power BI
• Looker
• ETL Pipelines
• Data Warehousing
Data Visualization
• D3.js
• Interactive Dashboards
• Real-Time Analytics
• Custom Reporting
Cloud & Deployment
• AWS
• Docker
• CI/CD
• Serverless Architecture
🏢 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, Neo4j, Elasticsearch, Kibana, Grafana, OpenClaw, OpenSearch, AI Bot, Agentic AI, Workflow Automation, AI Automation.
What I Build
✔ AI-Powered Applications
✔ Machine Learning Solutions
✔ Analytics Dashboards
✔ Business Intelligence Platforms
✔ Knowledge Graph Systems
✔ BigQuery Data Pipelines
✔ Neo4j Graph Databases
✔ Interactive D3.js Visualizations
✔ Generative AI & Claude Integrations
✔ End-to-End Data & AI Platforms
I focus on delivering scalable, production-ready solutions that combine AI, analytics, and modern data engineering to drive business growth and operational efficiency.
Steps for completing your project
After purchasing the project, send requirements so Indumati can start the project.
Delivery time starts when Indumati receives requirements from you.
Indumati works on your project following the steps below.
Revisions may occur after the delivery date.
Custom AI Knowledge Base with RAG Integration
• Gather project requirements and business goals • Analyze documents, datasets, and workflow requirements • Design system architecture and AI knowledge flow • Set up backend, vector database, and AI integrations • Testing & optimization • Deployment