Introducing RantAI Agents v2.0

Today we are incredibly excited to announce the next generation of our agentic platform: RantAI Agents v2.0. This major release brings a completely redesigned architecture that enables unprecedented flexibility and power for enterprise AI automation.

Multi-Model Support

One of the biggest requests we've heard from our customers is the need to use different foundation models for different tasks. In v2.0, we've introduced a multi-model abstraction layer that allows you to seamlessly switch between over 100+ different LLMs, including options from OpenAI, Anthropic, Google, and open-source models via Ollama.

Advanced RAG Pipelines

We've completely overhauled our Retrieval-Augmented Generation (RAG) system:

• Hybrid Search: Combining dense vector search with traditional keyword search (BM25) for significantly improved recall.
• Dynamic Chunking: Context-aware document chunking that preserves semantic boundaries.
• Re-ranking: Built-in integration with state-of-the-art cross-encoder models to ensure the most relevant context is always passed to the LLM.

Autonomous Task Execution

The core agent capability has been upgraded to support deep multi-step reasoning. Agents can now formulate plans, execute them using custom tools, evaluate the results, and automatically correct course if an error occurs.

"RantAI Agents v2.0 represents a step-change in what we can automate. Our internal ops team has already reduced manual processing time by 40%." — Early Access Partner

We can't wait to see what you build with v2.0!