Vectara Agentic

What it does

Vectara-agentic is a Python library that helps to build safe and trusted Agentic RAG with Vectara. It supports Agentic RAG workflows, powered by Vectara, while abstracting away most of the nitty-gritty details.

A Python package for creating AI Assistants and AI Agents with Vectara

vectara-agentic is a Python library for developing powerful AI assistants and agents using Vectara and Agentic-RAG. It leverages the LlamaIndex Agent framework and provides helper functions to quickly create tools that connect to Vectara corpora. Let's see how we create a simple AI assistant to answer questions about financial data ingested into Vectara, using vectara-agentic . A RAG tool calls the full Vectara RAG pipeline to provide summarized responses to queries grounded in data. We define two additional arguments ( year and ticker that map to filter attributes in the Vectara corpus): Note: We only defined the year and ticker arguments in the QueryFinancialReportsArgs model. The query…from pypi.org

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