Basic LLM RAG Application for limited Automation Business Requirement Deployed Locally | Data Science and Machine Learning Developer
Create custom LLM RAG models using LlamaIndex and LangChain
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Value Position
Core Technology
Deployment Options
Turnaround & Revisions
Scope Fit
Full Description
Leverage our expertise in LLM RAG to transform your data into actionable insights.
Why choose us:
- Comprehensive LLM RAG Expertise: With a deep understanding of Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) pipelines, Zinn Digital ™ offers end-to-end solutions tailored to your specific needs. From data ingestion and vectorisation to LLM integration and deployment, we deliver robust and efficient applications.
- Proven Proficiency with Leading Tools: With hands-on experience in LLama Index, Langchain, and top-tier vector databases, Zinn Digital ™ ensures optimal performance and scalability for your RAG applications. Our proficiency in cloud platforms like AWS, GCP, and Azure guarantees seamless deployment and management.
- Robust Deployment and Support: We provide comprehensive deployment services on your preferred cloud platform, along with ongoing support and maintenance. Our expertise in optimising RAG applications for production environments guarantees optimal performance and reliability
Note: Please Do Contact us before Placing an Order.
This Zinn Will Include (Bronze)
Basic LLM RAG Application for limited Automation Business Requirement Deployed Locally
Delivery: 7 days
Revisions: 0
Upgrade Options
Choose an upgrade addon to get more features:
| Feature | Basic | Boost Upgrade | Premium Upgrade |
|---|---|---|---|
| Delivery | 7 days | 21 days | 60 days |
| Revisions | 0 | 1 | 1 |
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Professional dedicated to my project. Outstanding work
Professional in all details
Neil met all the requirements and provided an outstanding work
His professionalism, his understanding of the need, his energy to turn an idea into reality are absolutely outstanding
I work for almost 2 months with Neil and I can hardly recommend his talented work
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