You will get Next-Gen Info / Text Retrieval with LlamaIndex and Google Gemini
Project details
You will receive a cutting-edge information retrieval system that leverages the power of LlamaIndex and Google Gemini, designed to streamline how you search and access data from various sources like PDFs and databases. With a background in data science, Python, and machine learning, I bring a comprehensive approach to building highly efficient and intelligent systems tailored to your needs. This project offers a robust, user-friendly web interface built on Streamlit, allowing seamless interaction with your data. My commitment is to deliver a high-performance solution that combines speed, accuracy, and easy scalability, ensuring you gain the maximum value from your data resources.
AI Algorithms
Autoencoder, Generative Adversarial Network, Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, Anomaly Detection, Machine Translation, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Speech Synthesis, Text Recognition, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Hugging Face, Microsoft CNTK, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
AlphaCode, BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LaMDA, LLaMA, Naive Bayes Classifier, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 15 days |
Number of Revisions | 2 | 3 | 5 |
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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $50
Additional Revision
+$5
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About Rizwan
Full Stack AI Engineer | LLM | RAG | AI Agents | AWS Bedrock | Python
Lahore, Pakistan - 3:55 pm local time
Hi, I'm Rizwan, a Full Stack AI Engineer with 4+ years of experience building AI-powered applications, intelligent agents, and scalable backend systems.
I help startups and businesses build production-ready AI solutions using LLMs, RAG pipelines, AI agents, and modern Python frameworks.
✅ What I can help you build:
• AI Chatbots & Conversational AI
• RAG Applications & Knowledge Bases
• AI Agents & Multi-Agent Systems
• AWS Bedrock & OpenAI Integrations
• LLM Applications using LangChain and LlamaIndex
• FastAPI & Django Backend Development
• AI-Powered SaaS Applications
• Vector Database & Semantic Search Solutions
🔹 AI & LLM Expertise
* LLMs: GPT-4, Claude, Gemini, Llama
* RAG Pipelines
* LangChain, LlamaIndex, LangGraph
* CrewAI and AI Agents
* Prompt Engineering
* Vector Databases (Pinecone, Chroma, Weaviate)
* AWS Bedrock
* OpenAI APIs
🔹 Backend & Full Stack Development
* Python
* Django & Django REST Framework
* FastAPI
* PostgreSQL & Redis
* Celery
* WebSockets
* Docker
* REST APIs
🔹 Recent Project Experience
✔ AI procurement chatbot for hospitality businesses
✔ Knowledge base and RAG applications
✔ Multi-agent AI workflow systems
✔ Customer support AI assistants
✔ AI-powered reporting and automation systems
✔ Real-time AI integrations for web applications
I focus on building reliable, scalable, and production-ready AI applications that solve real business problems.
If you're looking for an AI Engineer who can handle both the AI layer and the backend infrastructure, I'd be happy to discuss your project.
Let's build something intelligent together.
Steps for completing your project
After purchasing the project, send requirements so Rizwan can start the project.
Delivery time starts when Rizwan receives requirements from you.
Rizwan works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering and Setup
Discuss project goals, data sources, and functionality requirements. Set up the project structure and necessary dependencies.
Development and Testing
Implement the retrieval system with LlamaIndex and Google Gemini, and build a user interface in Streamlit. Conduct testing to ensure accuracy, performance, and stability.