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English
$
USD
I will develop rag private llm ai agents and langchain models
Navneet K
Level 2
About this gig
Stop getting generic AI answers. I'll build a powerful RAG system that connects models like GPT-4 to your private documents, creating a chatbot that truly understands your business.
Tired of chatbots that can't answer specific questions? I specialise in creating custom Retrieval-Augmented Generation (RAG) applications that transform your internal knowledge bases, PDFs, websites, or databases into intelligent, interactive resources.
Whether you need a customer support bot that gives accurate answers, an internal tool for employees to query company documents, or a sophisticated AI agent for data analysis, I deliver solutions that are precise, fast, and secure.
What I Offer:
- Custom RAG Pipelines: Development using state-of-the-art Python, LangChain, or LlamaIndex.
- Vector Database Integration: Seamless setup with Pinecone, ChromaDB, Qdrant, or Milvus for efficient data retrieval.
- LLM Integration: Connect to leading models like OpenAI (GPT-4), Anthropic (Claude), or open-source alternatives.
- API & UI: Delivery of a robust FastAPI/Flask API and an optional user-friendly interface using Streamlit.
Ready to unlock the true power of your data? Message me now for a free consultation!
Get to know Navneet K
Navneet K
Data science meets electronics: AI, analytics, and embedded solutions
Level 2
- FromIndia
- Member sinceSep 2021
- Avg. response time1 hour
- Last delivery3 weeks
Languages
English, Hindi, French
I’m a Master’s student in Data Science with expertise in AI, ML, and analytics, combined with hands-on skills in electronics and embedded systems. I work on predictive models, econometrics, SQL data solutions, dashboards, and computer vision, as well as Arduino, Raspberry Pi, UAVs, and sensor integration. This blend of data science and hardware lets me deliver both insightful analytics and practical engineering solutions. Let’s collaborate to create impactful, scalable systems.
My Portfolio
FAQ
1. What kind of data can I use for the RAG system?
You can use a wide variety of data sources! I can work with: Documents (PDF, DOCX, TXT, PPT) Website content (by scraping URLs) Databases (SQL, NoSQL) Customer support transcripts (Zendesk, Intercom) Knowledge bases (Confluence, Notion) If your data is in another format, just send me a message
2. Is my proprietary data secure and confidential?
Absolutely. Your data security is my top priority. I handle all client data with strict confidentiality. The system can be deployed on your own private cloud infrastructure (AWS, GCP, Azure) or on-premise servers, ensuring you have full control and ownership. I will never use your data for any other
3. Can the knowledge base be updated with new documents later?
Yes, absolutely. I design the systems to be easily maintainable. I can build a simple script or an automated pipeline that allows you to add, update, or remove documents from the knowledge base periodically. This ensures your RAG system stays current with your latest information.
4. Do I need to provide my own OpenAI/LLM API key?
Yes, you will need to provide your own API key from an LLM provider like OpenAI, Anthropic, or Google. This ensures you have full control over your usage and billing. I will guide you on how to obtain the key and securely integrate it into the application.
