Introducing Vectara-Agentic

Vectara-Agentic is a Python package that enables the creation of AI Assistants and AI Agents using the Agentic RAG (Reasoning and Augmented Generation) methodology, which leverages Large Language Models (LLMs). It abstracts away many details and provides functional flexibility, a broad set of tools out of the box, and ties back to the scalable and secure enterprise RAG platform from Vectara. By leveraging tool use, LLM reasoning processes can be emulated within the AI Assistant or Agent, allowing them to safely act on behalf of users to achieve desired outcomes such as sending emails or booking flights. The package is designed to make building Agentic RAG applications easy and straightforward, with a focus on reducing hallucinations and improving trust in the output. It supports various LLM providers and provides examples of how to use it for different use cases, including a legal assistant that helps with case law research.

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