Phoenix - Your AI AssistantCreate a robust Retrieval-Augmented Generation (RAG)
Delivery in
5 days
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What you get with this Offer
With my service, you will receive a fully functional, agentic RAG solution that includes:
Data Storage with Supabase: Utilize Supabase to set up a scalable backend, handling data storage and retrieval efficiently.
Data Validation with Pydantic: Implement Pydantic models to ensure all data entering the system is validated against defined schemas, thus maintaining data integrity and correctness.
Integration of Large Language Models: Leverage state-of-the-art LLMs to process and generate responses based on retrieved data, enhancing the user experience.
Customization & Setup: Tailor the RAG solution to meet your specific use cases, including the customization of models, agent features, and user interactions.
Full Documentation: Provide comprehensive documentation covering the architecture, setup instructions, and usage guidelines.
This service is ideal for businesses looking to harness the power of AI-driven data retrieval and generation in their applications.
Data Storage with Supabase: Utilize Supabase to set up a scalable backend, handling data storage and retrieval efficiently.
Data Validation with Pydantic: Implement Pydantic models to ensure all data entering the system is validated against defined schemas, thus maintaining data integrity and correctness.
Integration of Large Language Models: Leverage state-of-the-art LLMs to process and generate responses based on retrieved data, enhancing the user experience.
Customization & Setup: Tailor the RAG solution to meet your specific use cases, including the customization of models, agent features, and user interactions.
Full Documentation: Provide comprehensive documentation covering the architecture, setup instructions, and usage guidelines.
This service is ideal for businesses looking to harness the power of AI-driven data retrieval and generation in their applications.
What the Freelancer needs to start the work
roject Overview: A detailed description of the desired functionality and goals for the RAG system.
Access to Supabase: Credentials to set up the Supabase instance and database.
Data Sources: Information about the data sources to be integrated into the RAG solution.
API Documentation: Any relevant API documentation related to existing systems or expected integrations.