Vectara for Managing Company Knowledge

Vectara is an AI-powered retrieval-augmented generation (RAG) platform. It combines neural search, embeddings, and contextual summarization to deliver accurate and secure knowledge retrieval for enterprise applications and chatbots.

$100+

Free Trial/Plan Available

Key Features

Complete retrieval augmented generation service encapsulating document processing, embedding model, retrieval engine, reranker, and large language model behind easy-to-use developer API. Reduces hallucinations and bias significantly.

Proprietary custom-trained generative language model designed specifically to excel at retrieval-augmented generation tasks. Limits answers to provided information only, mitigating hallucinations and personally identifiable information issues effectively.

Superior cross-language operation with chat history and multi-turn generation enabling AI Assistants to go many layers deep. High accuracy and minimal hallucinations across diverse languages and contexts.

Enterprise-grade security with SOC two compliance, HIPAA compliance, and customer encryption keys hiding account data even from engineering team. Complete data control with flexible deployment options.

Best-in-class retrieval with enhanced configurability ensuring answers backed by source documents with citations. Detailed references to exact sentences and passages used creating verifiable, trustworthy outputs.

Security & Compliance

SOC 2 Type II

Industry-grade security standards.

HIPAA (Health Data only)

AI Depth

AI Native

AI is the core engine. The product’s main purpose and workflows rely on AI.

Our Insights

Vectara is a tool built around the principle of grounding AI in factual, contextually relevant data. It lets you create and manage corpora of your own information, which the model then uses to generate responses that are contextually accurate and less prone to hallucination. There’s strong flexibility in how you control what data the model can access, with features like metadata filtering, file-level selection, and adjustable response parameters such as temperature and tone. While the setup and fine-tuning process can feel a bit technical for those new to model configuration, it becomes intuitive with a little practice. Vectara also bridges conversational AI with semantic search, offering confidence scores that reflect how well its answers are supported by your data. For users working with large or constantly updating datasets, it’s worth considering how data will be prepared and inserted into corpora, as this may benefit from pairing Vectara with complementary data and/or workflow tools.

Alternatives

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