You will get RAG Chatbot, AI Agent & Knowledge Base | GPT, Claude,OpenAI, RAG, LangChain
Top Rated
Top Rated
Project details
Want to build your own AI-powered app with Langchain? Imagine having a 500-page document that would typically require 24+ hours of reading and searching to find the specific information you desire. However, with the aid of a chatbot, you can accomplish this task in no time at all. I specialize in creating user-friendly web applications equipped with AI chatbots that harness advanced natural language processing and embeddings.
Data Sources:
• TXT
• PDF
• PPT
• Docx
• Excel
Others
What kind of application can be built with it?
• Document Summarization
• Data Scraping and Q&A with any URL
• Q&A with Documents
• Q&A with pdf,csv, excel, ppt
Tech used:
• Python
• Streamlit
• OpenAI
• Gemini pro
• Langchain
Please feel free to inquire about my services. I'll be glad to help with no obligations or pressure until you are comfortable.
Data Sources:
• TXT
• PPT
• Docx
• Excel
Others
What kind of application can be built with it?
• Document Summarization
• Data Scraping and Q&A with any URL
• Q&A with Documents
• Q&A with pdf,csv, excel, ppt
Tech used:
• Python
• Streamlit
• OpenAI
• Gemini pro
• Langchain
Please feel free to inquire about my services. I'll be glad to help with no obligations or pressure until you are comfortable.
AI Algorithms
Convolutional Neural Network, Feedforward Neural Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated Code, AIOps, Conversational AI, Image Processing, Natural Language Generation, Natural Language Understanding, Sequence Modeling, Synthetic Data Generation, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, GPT-Neo, LaMDA, LLaMA, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$180
|
Standard
$450
|
Advanced
$950
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
Number of Revisions | 2 | 3 | 6 |
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 |
Frequently asked questions
21 reviews
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MN
Madhukar N.
Apr 15, 2026
OCR Automation for Faxes with AI
good experience
TJ
Thies J.
Jan 12, 2026
Backend Engineer
SG
Snehashis G.
Dec 16, 2025
Consultation
Krupali is great, very responsible, have the best professional mind and i will work with her again.
JG
JP G.
Nov 17, 2025
Markdown File Data Extraction Specialist
Incredibly accurate & proactive. As engineer since 35 years , I was rarely faced to such mindset & efficiency. Thanks so much !
AS
Atul S.
Sep 30, 2025
RAG Consultant for Implementation Needs for 1 hour
I couldn't be happier with the work delivered on this project! From the very beginning, it was clear that Krupali really knew her stuff when it came to RAG pipeline architecture, retrieval strategies, and LLM integration. Even though this was just a one-hour brainstorming session, she packed so much value into that time. The quality of insights was outstanding - she quickly understood our system's requirements and provided accurate, actionable recommendations that were exactly what we needed. What really impressed me was how she came prepared and made every minute count, delivering clarity on complex RAG implementation challenges like chunking strategies, embedding models, vector database selection, and retrieval optimization way faster than I expected. She didn't just answer my questions - she actually went above and beyond by suggesting ways to improve our document processing pipeline, identifying potential issues with context relevance, and even sharing best practices for improving accuracy in our specific use case. Her deep expertise in generative AI, RAG workflows, OCR integration, and document processing really shone through. Communication was crystal clear throughout, and she explained technical concepts in a way that was easy to understand while still being thorough. It's rare to find someone who combines such strong technical knowledge in LLMs and RAG pipelines with the ability to think strategically about real-world implementation. I'm definitely planning to work with Krupali again on future AI projects, and I'd highly recommend her to anyone looking for expert guidance on RAG systems or AI solutions. Thanks again for the excellent consultation!
About Krupali
OCR | Document AI | Data Extraction | LLM RAG | Computer Vision
100%
Job Success
Surat, India - 10:48 pm local time
I build AI-powered OCR, Document AI, Intelligent Document Processing (IDP), LLM RAG systems, Computer Vision, and AI Automation for real business workflows not demos.
VERIFIED RESULTS
96.8% verified field-level extraction accuracy
10,000+ business document pages processed
100% Job Success, Top Rated, 5
Solutions built for real client workflows, not demos or prototypes
Trusted for accuracy, reliability, fast delivery, and production-ready implementation
My work spans invoice, legal, and financial document processing, scanned PDF extraction, forms, contracts, insurance documents, Computer Vision, RAG systems, document Q&A, AI chatbots, and workflow automation.
WHAT I BUILD
OCR and Document AI
OCR, Intelligent Document Processing, Document AI, Scanned PDFs, Invoices, Forms, Contracts, Financial Documents, Insurance Documents, Document Classification, Layout Analysis, Table Extraction, Key-Value Extraction, Multilingual Documents.
AI Data Extraction
PDF/Image to JSON, CSV, Excel, SQL, APIs. Structured Extraction, Schema Validation, Confidence Scoring, Document Validation, Human-in-the-Loop.
LLM RAG and Document AI
Retrieval-Augmented Generation, Enterprise RAG, Semantic Search, Hybrid Retrieval, Vector Search, Reranking, Embeddings, Knowledge Bases, Document Q&A, AI Assistants, AI Agents, LLM Applications, Multimodal AI.
Computer Vision and Machine Learning
OpenCV, Image Processing, Image Enhancement, Document Image Analysis, Object Detection, Image Classification, Image Segmentation, Feature Extraction, Deep Learning, Machine Learning, Model Inference, OCR plus Computer Vision.
AI Automation
Document Classification, Workflow Automation, Information Verification, Document Review, Validation, Human-in-the-Loop, Business Process Automation.
REAL-WORLD AI PIPELINE
Document/Image to Preprocessing to OCR/Vision to Classification to AI Extraction to Validation to Confidence Scoring to Human Review to Structured Data to API/Database to Automation
For knowledge systems:
Documents to Parsing to Chunking to Embeddings to Retrieval to Reranking to LLM to Grounded Answers
TECHNOLOGY STACK
AI, LLM, Multimodal
OpenAI, GPT-4o, Gemini, Claude, Llama, Qwen, DeepSeek, Generative AI, LLMs, Vision-Language Models, Multimodal AI, Prompt Engineering, Structured Outputs.
OCR, Document AI
Tesseract OCR, PaddleOCR, EasyOCR, OpenCV, LayoutLM, LayoutLMv3, PDF Processing, Layout Analysis, Document Classification, Table Extraction, Handwritten Text Recognition.
Computer Vision, ML
OpenCV, PyTorch, TorchVision, Image Processing, Object Detection, Image Classification, Image Segmentation, Feature Extraction, Deep Learning, Machine Learning, Model Inference.
RAG, Retrieval
LangChain, LlamaIndex, LangGraph, Ollama, vLLM, Qdrant, Pinecone, FAISS, ChromaDB, Embeddings, Semantic Search, Hybrid Search, Reranking.
Engineering
Python, SQL, FastAPI, REST APIs, PostgreSQL, Pydantic, Instructor, Docker, Git, Linux.
HOW I APPROACH AI PROJECTS
Not just raw OCR. Not just an LLM demo. I focus on building the complete workflow around the AI accuracy, validation, confidence, human review, structured outputs, and automation so the result actually fits into your business process.
Have an OCR, Document AI, Computer Vision, Data Extraction, RAG, or AI automation problem? Tell me what you're trying to automate.
Steps for completing your project
After purchasing the project, send requirements so Krupali can start the project.
Delivery time starts when Krupali receives requirements from you.
Krupali works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Review the client's requirements, including their choice of AI model (GPT-4 or Gemini Pro), API keys, and any customization needs.
Environment Setup
Set up the development environment for Streamlit and configure API access for the chosen model.