RAG Database Development for Professional Documents
Budget: €250 – €750 EUR
Looking for a Freelancer to Create a RAG Database for Storing Professional Documents
We are seeking a skilled freelancer to develop a robust Retrieval-Augmented Generation (RAG) database capable of storing approximately 2 TB of professional documents. The database will mainly consist of PDF files that include text, images, and diagrams, in multiple languages.
Key Requirements:
Storage: Handle up to 2 TB of data, with a scalable solution for future needs.
Languages: Support for multilingual document storage and retrieval.
Ease of Use: A simple and intuitive interface for managing and accessing documents.
Implementation: The solution must be implemented on our server, ensuring optimal performance and security.
Advanced Search: Capability for semantic search and retrieval of documents based on content.
Additional Details:
The freelancer should provide a scalable solution that allows for easy addition of new documents and users.
Expertise in setting up a RAG system using tools like Elasticsearch, LangChain, or similar is a plus.
Integration with AI tools for enhanced document search and retrieval is desirable but not mandatory.
Comprehensive documentation and basic training for our team should be included.
If you have experience with RAG databases and can deliver a scalable, user-friendly solution, please send us:
1. Your portfolio or previous similar projects.
2. Your proposed timeline and budget.
3. A brief description of the tools or technologies you plan to use.
We look forward to working with a dedicated professional to bring this project to life!
We are seeking a skilled freelancer to develop a robust Retrieval-Augmented Generation (RAG) database capable of storing approximately 2 TB of professional documents. The database will mainly consist of PDF files that include text, images, and diagrams, in multiple languages.
Key Requirements:
Storage: Handle up to 2 TB of data, with a scalable solution for future needs.
Languages: Support for multilingual document storage and retrieval.
Ease of Use: A simple and intuitive interface for managing and accessing documents.
Implementation: The solution must be implemented on our server, ensuring optimal performance and security.
Advanced Search: Capability for semantic search and retrieval of documents based on content.
Additional Details:
The freelancer should provide a scalable solution that allows for easy addition of new documents and users.
Expertise in setting up a RAG system using tools like Elasticsearch, LangChain, or similar is a plus.
Integration with AI tools for enhanced document search and retrieval is desirable but not mandatory.
Comprehensive documentation and basic training for our team should be included.
If you have experience with RAG databases and can deliver a scalable, user-friendly solution, please send us:
1. Your portfolio or previous similar projects.
2. Your proposed timeline and budget.
3. A brief description of the tools or technologies you plan to use.
We look forward to working with a dedicated professional to bring this project to life!