We're excited to bring you new features and improvements!

We're thrilled to announce a series of significant updates and new features for Literal AI. Our team has been working hard to enhance your experience and provide you with more powerful tools for AI development and management.

The article introduces an A/B testing feature for prompts and models, allowing teams to compare versions and optimize performance in production environments.

The blog post introduces "Annotation Queues," a new feature that optimizes the human review process by organizing annotation tasks, improving AI model training workflows.

The article introduces the updated Online Evaluation feature, which allows users to define custom evaluation rules for AI agents and workflows, enabling more detailed performance analysis.

The article discusses advanced Retrieval-Augmented Generation (RAG) techniques, including Adaptive, Graph, and Agentic RAG, which enhance AI's ability to retrieve and generate relevant information.

Understand each step of the RAG inference process (rephrase, embed, search, rerank, generate) and how to add observability with Literal AI

Literal AI is the multi-modal LLM observability and evaluation platform for Developers and Product Owners.