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Improved Search with Vectara Query Rewriting (Tech Preview)
Vectara's Intelligent Query Rewriting (Tech Preview) improves RAG search accuracy by separating queries into their natural language and filter expression components.
The Importance of Explainability in Enterprise RAG
In the era of generative AI, trust and transparency are essential—especially for enterprises in regulated industries where AI hallucinations can have serious consequences. Vectara’s Enterprise RAG platform prioritizes explainability with citation-backed responses, advanced observability tools, and chat history search, ensuring AI-driven insights are verifiable and reliable.
DeepSeek-R1 hallucinates more than DeepSeek-V3
DeepSeek has shaken the AI industry with its release of Deepseek-R1, but it turns out that Deepseek-R1 has a hallucination problem.
Top Enterprise RAG predictions
How Enterprise RAG has evolved and what we can expect to see next...
Announcing Typescript SDK
A Typescript-native interface for Vectara, simplifying Integration for Developers
Introducing Knee Reranking: smart result filtering for better results
With Vectara's new Knee Reranking, you can automatically improve result quality and reduce GenAI latency
HHEM: expanded language support
Vectara’s Hughes Hallucination Evaluation Model (HHEM) now supports 8 languages, expanding from English, German, and French to include Portuguese, Spanish, Arabic, Chinese - Simplified, and Korean.
Announcing Vectara’s Python-SDK
A Python-native interface for Vectara, built for developers.
Metadata updates
Hello Vectara community! Today, we’re very happy to announce another new feature in Vectara: the ability to update the metadata of documents after they’ve been indexed. This has been one of the most requested features in Vectara by our users. In this blog, we’ll walk you through how it works, why it’s been so requested, and what you can do with Vectara now.
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