Arklex AI (@arklexai) 's Twitter Profile
Arklex AI

@arklexai

Build AI Agents with Control & Adaptability
GitHub: lnkd.in/eueyPfYq
Open source:lnkd.in/eDavUGu3
Discord: discord.com/invite/YNkdqAQ…

ID: 1881756529658875904

linkhttps://www.arklex.ai/qa calendar_today21-01-2025 17:32:53

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New from Arklex: Smarter AI Agent Evaluation Problem: – LLM-assigned user attributes often conflict with existing profile data – Most evaluation tools only support a single LLM provider Our Fix ✅ Added support for OpenAI, Gemini, and Claude ✅ Introduced LLM-powered

New from Arklex: Smarter AI Agent Evaluation

Problem:
 – LLM-assigned user attributes often conflict with existing profile data
 – Most evaluation tools only support a single LLM provider

Our Fix
 ✅ Added support for OpenAI, Gemini, and Claude
 ✅ Introduced LLM-powered
Arklex AI (@arklexai) 's Twitter Profile Photo

If you are at NAACL, top NLP conference today. Check our our presentation at 11am MDT today on how Walmart builds their Sparky AI Agent.

Arklex AI (@arklexai) 's Twitter Profile Photo

When should AI step back and let a human take over? We just launched Human-in-the-Loop Worker at Arklex AI, now your AI agent knows exactly when to bring in a human representative. ✅ Intent detection ✅ Live chat handoff ✅ Seamless conversation flow Read the full blog:

Arklex AI (@arklexai) 's Twitter Profile Photo

Meet our Founder & CEO Jo at AI Agent Workshop today and tomorrow at midtown NYC. Reach out and DM zhou Yu If you are at the conference.

Arklex AI (@arklexai) 's Twitter Profile Photo

Arklex RAG: Smarter Retrieval with Tag-Based Precision Why this matter? RAG answers get messy when retrieval pulls from everything. What we’ve built: Arklex now supports tag-based RAG → Assign tags to your knowledge base: faq, url, file → Retrieve and generate answers

Arklex RAG: Smarter Retrieval with Tag-Based Precision

Why this matter?
RAG answers get messy when retrieval pulls from everything.

What we’ve built:
 Arklex now supports tag-based RAG 
 → Assign tags to your knowledge base: faq, url, file
 → Retrieve and generate answers