You will get RAG PDF Q&A: AI-Powered Document Insights with Llama-4 & LlamaIndex
Rising Talent

Rising Talent

Project details
You will get a full-fledged retrieval-augmented generation (RAG) PDF Q&A system that lets you upload and index multiple PDFs, customize chunk sizes and overlaps, and ask natural-language questions. Powered by LlamaIndex and Cerebras Llama-4, it delivers concise, accurate answers extracted from your documents. I’ll set up the Streamlit interface, configure the pipeline, and provide the source code and documentation for your deployment.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging Face, StreamlitAI Models
LLaMAWhat's included $150
These options are included with the project scope.
$150
- Delivery Time 4 days
- Number of Revisions 2
- AI Model Integration
- Model Documentation
- Natural Language Processing
- Prompt Engineering
- Setup File
- Source Code
About Akshay
Software Developer | Generative AI & Chatbot Expert | ML
Mumbai, India - 5:35 am local time
I’m a results‑driven Software Developer & Gen AI Expert with 6+ years of experience solving business problems using Machine Learning, Deep Learning, and Generative AI solutions. My focus is on models that are accurate, explainable, scalable and ROI‑focused — I’ve helped clients automate processes and achieve 20% annual growth by integrating AI into their operations.
Here’s what I bring to the table:
• Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Power BI
• Machine Learning: Scikit‑learn, XGBoost, LightGBM, hyperparameter tuning
• Deep Learning: TensorFlow, Keras, PyTorch (including transformers and generative models for NLP, computer vision & time series)
• Generative AI & NLP: Chatbots, prompt engineering, sentiment analysis, topic modeling
• End‑to‑End Projects: Data cleaning, feature engineering, model deployment (Streamlit, Flask, FastAPI)
• Cloud & Deployment: AWS, GCP, Docker, Git, CI/CD
• Business Use Cases: Predictive analytics, fraud detection, churn prediction, recommendation systems, AI integration & automation
I also build AI‑powered chat agents and integrate generative AI models into existing products. My strong communication skills ensure that stakeholders understand the "why" behind the algorithms and can act on insights.
Whether you need a one‑time analysis or a complete AI system built from scratch, I can deliver with clarity, speed, and impact. Let’s talk about how we can make your data and AI work for you.
Steps for completing your project
After purchasing the project, send requirements so Akshay can start the project.
Delivery time starts when Akshay receives requirements from you.
Akshay works on your project following the steps below.
Revisions may occur after the delivery date.
Setup & Index Documents
Gather API key and PDFs, configure chunk size and overlap, and index documents with LlamaIndex.
Develop & Integrate RAG Pipeline
Implement RAG pipeline using LlamaIndex and Llama-4; test with sample questions to ensure accurate Q&A.
