AI agents without the threat of hallucinations
From answer engines to action engines, Vectara’s platform is designed explicitly to mitigate hallucinations in autonomous agents.
Features
Superior retrieval and generation
You can trust the answers that come from Vectara, because they are grounded in the facts from the data you have provided.
Vectara’s Boomerang model is designed to pull the most relevant answers from your entire corpus in order to make agentic RAG a reality.
Every response is grounded in the facts retrieved from your indexed data, which means a significantly reduced probability of hallucination during the generation stage.
Multiple deployment options
Run agentic systems your way with enhanced reliability and scale.
Vectara is available as SaaS, VPC, or on-premise, providing flexibility for data locality and platform configuration control.
This reduces hallucinations during generation, provides a Factual Consistency Score for each answer, and allows real-time data updates.
Vectara-Agentic
Vectara-Agentic docsAgentic frameworks for enterprise developers.
Vectara-Agentic is a new tool for creating AI Agents. It’s a Python library that helps build safe and trusted Agentic RAG while abstracting away most of the nitty-gritty details.
Just link to your Vectara account and corpus, configure query parameters, and you're ready to query enterprise APIs with your agentic tool.
Use Cases
Get started with Vectara
Vectara is the shortest path between question and answer, delivering true business value in the shortest time.
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