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You will get a RAG - Powered System

Cilia M.Status: Offline
Cilia M.
Preview imagePreview image

Let a pro handle the details

Buy Generative AI services from Cilia, priced and ready to go.
Cilia M.Status: Offline
Cilia M.
Preview imagePreview image

Let a pro handle the details

Buy Generative AI services from Cilia, priced and ready to go.

Project details

You'll get an AI-powered chatbot that makes your internal or customer-facing documents instantly searchable using Retrieval-Augmented Generation (RAG). From PDFs and Notion pages to custom knowledge bases, the system will combine semantic search with natural language responses, fully tailored to your business context.
AI Algorithms
Large Language Model
AI Applications
AI Chatbot
AI Development Language
Python
AI Models
ChatGPT, LLaMA

What's included $1,000

These options are included with the project scope.

$1,000
  • Delivery Time 7 days
Cilia M.Status: Offline

About Cilia

Cilia M.Status: Offline
AI Engineer | LLMs & Prompt Engineering | RAG | Agentic AI Solutions
Algiers, Algeria - 3:53 am local time
I help businesses apply AI in focused, practical ways, without the hype.

As an AI/LLM engineer with almost 3 years of hands-on experience, I specialize in building reliable, purpose-driven solutions that streamline operations, enhance user experience, and unlock efficiency using language models and modern AI tools.

What I Work On:

🔹 LLM-Powered Applications – Building intelligent agents and chatbots that are grounded, context-aware, and aligned with user intent.

🔹 Retrieval-Augmented Generation (RAG) – Implementing pipelines that connect AI with your internal data through embeddings and vector search.

🔹 Prompt Engineering & System Logic – Designing structured, testable prompt flows that improve LLM output quality and reliability.

🔹 Backend Integration & Deployment – Using FastAPI, Docker, Twilio, and cloud infrastructure to bring AI solutions into production.

What Sets Me Apart:

• Balanced Technical Depth – I work with a modern AI stack, but always with simplicity, performance, and real use cases in mind.
• Clear Communication – I bring structure, transparency, and straightforward collaboration to every project.
• Continuous Learning – I stay close to the evolving AI landscape and bring that insight to every engagement.
• Practical Delivery – I focus on what works, scalable, maintainable code that integrates cleanly with your systems.

My Current Toolkit:

- AI & LLMs: OpenAI, Claude, LangChain, Langsmith, Hugging Face, RAG pipelines
- Backend: Python, FastAPI, Docker, Neo4j, GitHub Actions
- RAG Tools: FAISS, Qdrant, text-embedding-3-small, BM25 hybrid search
- Integrations: GoHighLevel, REST APIs

📚 I also write part-time on Medium, where I share practical thoughts and real-world lessons from working with AI systems, LLMs, and RAG architectures.

If you’re exploring how AI can support your team, product, or process, and want to approach it with clarity and purpose, I’d be happy to connect.

Steps for completing your project

After purchasing the project, send requirements so Cilia can start the project.

Delivery time starts when Cilia receives requirements from you.

Cilia works on your project following the steps below.

Revisions may occur after the delivery date.

Collect & Analyze Documents

Review PDFs, Notion pages, and other sources.

Generate Embeddings

Create vector representations of content using OpenAI or local models.

Review the work, release payment, and leave feedback to Cilia.