🚀 Exciting API Advancement: Agents with RAG Knowledge Bases!
We are pleased to announce an exciting advancement in our API capabilities, featuring new endpoints for constructing agents with RAG (Retrieval-Augmented Generation) knowledge bases.
🔥 Closed Alpha Launch: September 23rd!
✨ What’s New:
- Agent creation functionality (includes a specific LLM, title description and system prompt)
- Large PDF file uploads for knowledge base construction
- Prompt-based querying of the established knowledge base
💡 Key Benefit: A key benefit of this RAG knowledge base is the significant reduction in costs associated with prompts related to extensive documents.
🔍 We’re on the hunt for alpha testers!
Want to be among the first to experience this feature? Here’s what we’re looking for:
- Some programming knowledge, as the current version lacks a user interface.
- Have a relevant use case, either professional or academic, where querying large documents is essential.
- Ideally, be an active user of our current API (though not mandatory).
📝 Ready to Join?
If you meet these requirements and are interested in being among the first to test these API enhancements, we invite you to express your interest by responding to this thread.
Your participation will play a crucial role in refining this innovative feature. We look forward to collaborating with you on this exciting new chapter in AI-powered document interaction.
This is just one of many cool upgrades we’ve got in the pipeline for our Agent project.
Thank you for your continued support and enthusiasm for Straico’s advancements.
Thank you for your continued support and enthusiasm for Straico’s advancements.
