We’re thrilled to introduce our latest API upgrade featuring the Retrieval-Augmented Generation (RAG) technology.
RAG is an AI framework that combines the power of information retrieval and language generation to deliver more grounded and reliable outputs. By leveraging external sources, RAG ensures that the generated responses are not only contextually rich but also backed by authoritative knowledge.
Here are the highlights of this game-changing upgrade:
- Efficient Knowledge Retrieval: RAG allows you to create reusable knowledge bases from your files (PDF, DOCX, CSV, TXT, XLSX, and more), which can be seamlessly integrated into your AI prompts.
- Access to Citations: Gain confidence in AI-generated answers with easy access to the citations used by RAG, providing a clear trail of the sources that informed your response.
- Cost-Effective Prompting: Prompting over RAG bases is significantly more affordable than prompting over raw files, reducing your costs by up to 97% in some cases!
- Versatile Use Cases: RAG bases can be applied to a wide range of scenarios, from querying legal documents and academic papers to creating intelligent chat assistants and retrieving information from long conversations.
- Bonus: Introducing Agents! Explore Agents – associate RAG bases with your Agent to build a comprehensive knowledge base tailored to your specific needs.
While this API upgrade is initially available for our most technical users, it marks another step in our journey to enhance the generative AI experience. We’re exploring ways to expand our offerings and introduce new features!
Unlock the power of contextually rich AI outputs with Straico’s RAG API upgrade! Streamline your workflow and optimize your costs.
Stay tuned for more exciting updates from the Straico team!
