🚀 Custom AI-LLM RAG, MCP & Fine-Tuning Projects

Craft powerful, scalable AI applications using cutting-edge Large Language Models (LLMs) with custom-tailored pipelines designed for your domain.

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🧠 What’s Inside

🔍 Retrieval-Augmented Generation (RAG)

Build smart assistants that combine LLMs with real-time knowledge retrieval from:

• PDFs, websites, internal wikis
• Vector databases (Pinecone, FAISS, Weaviate)
• Structured data sources (SQL, APIs)

🧩 Multi-Component Pipelines (MCP)

Modular AI pipelines that connect:

• Embedding engines (OpenAI, HuggingFace, Ollama)
• Local/hosted LLMs (LLaMA, Mistral, GPT-J, etc.)
• Memory, context injection, and streaming chat UIs
• Scalable backends (FastAPI, LangChain, Haystack)

🎯 Fine-Tuning Open-Source Models

Train or fine-tune open models with your domain-specific data:

• Legal, medical, finance, customer support, etc.
• Format support: JSON, CSV, markdown, chat logs, text files
• Tools: LoRA, QLoRA, PEFT, SFT on local or cloud GPUs

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💼 Use Cases

• Internal knowledgebase chatbots
• Autonomous research and report generators
• Enterprise copilots for finance/legal
• Smart search interfaces with LLM reasoning

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⚙️ Technologies Used

• Python, FastAPI, LangChain, Haystack
• Pinecone, FAISS, Weaviate
• Ollama, HuggingFace Transformers, OpenAI API
• Frontend: HTML/JS, React or custom UI
• Deployment: Docker, local GPU, or cloud

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📦 Setup & Deployment

Coming soon: Detailed setup guides and deployment templates for both local and cloud environments.

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📫 Contact

For collaboration or custom project inquiries:
[Your Name]
📧 [your.email@example.com]
🌐 [yourwebsite.com]

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🛠️ Precision-built AI systems. Tailored to your data. Deployed your way.