Developers can easily build AI assistants and agents with your data. Retrieval Augmented Generation (RAG) mitigates hallucinations, bias, & copyright infringement. AI is now ready for business.
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Vectara’s best-in-class retrieval, superior cross-language operation, chat history, and multi-turn generation enable AI Assistants to go many layers deep with high accuracy and minimal hallucinations.
Vectara’s best in class retrieval, enhanced configurability of generation, and API extensibility and scaffolding help turn answers into actions directly in your application with minimal effort.
Retrieval Augmented Generation as a Service
Breakthrough relevance
Powered by LLMs and Generative AI
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Mockingbird is Vectara’s proprietary custom-trained generative large language model (LLM) designed specifically to excel at retrieval-augmented generation (RAG). When provided with facts and asked a question, Mockingbird will limit itself to answering the question using only the information provided to it, mitigating hallucinations, bias, and PII issues. In our benchmarks and human trials, Mockingbird performed at par with OpenAI’s GPT-4.
Boomerang is Vectara’s proprietary, internally developed embedding and retrieval model. This model is responsible for interpreting a natural-language query (NLP) and retrieving the right information from our vector database. Alone, this enables a fully functioning semantic search system. In a RAG system, this information is provided to an LLM so it can refer to it when it generates a response. Boomerang thrives at cross-language queries in which the question being asked is in a different language than the data stored in the vector database. It performs on par or better than industry models.
Hallucinations are a big problem in generative AI. They occur when an LLM produces an answer based on made-up facts. HHEM is a special proprietary model that we trained to be able to evaluate whether the summary or answer produced by an LLM is consistent with the facts provided to it (instead of simply relying on the data it was trained with). Our platform uses HHEM to produce a Factual Consistency Score for our developers, so they can measure the factual consistency of the responses generated by our platform and perform quality control in their end-user applications. We open-sourced part of HHEM, and it is extremely popular (50K downloads last month). It also powers our hallucination leaderboard of various popular LLMs, which has gained a lot of attention.
The Slingshot model reorganizes search results to ensure relevance and avoid redundancy, delivering accurate outcomes across queries. It can be combined with inputs based on your priorities, such as recency or keyword frequency, to ensure the most relevant information rises to the top.
Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more.
Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding.
Segment data into any number of indexes storing vector encodings optimized for low latency and high recall.
Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models.
Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results.
Optionally generate a natural language summary of the top results for Q&A or conversational AI experiences.
Developers choose Vectara over open source LLM frameworks because Vectara takes care of the embeddings, the vector database, and offloads a lot of the complexity workload from developers' plates.
Have conversations with your data. Ask a question, and Vectara gives you summarized answers based entirely on your inputs with zero hallucinations.
Employ an end-to-end configured platform with easy ingest and API operation. Harness multiple LLMs for language detection, retrieval, and reranking.
Our retrieval-augmented generation system produces the least hallucinations. Vectara’s retrieval grounds responses, minimizing hallucinations, with citations and a consistency score (FCS).
We offer SOC-2 Type 2 compliance and rigorous access controls to keep your users and data safe. At Vectara, we do not train our models on customer data. Your data is yours.
Analyze and refine the thought processes of your Agents and Assistants with our observability tools. Vectara gives you full control and transparency.
Most AI hallucinates, trains on your data, and gives you a black box that leaves you spending your time searching for answers.
Data privacy guaranteed
Knowledge-based accuracy
Consistent facts
If your users have questions, we have the answer. Regardless of product, use case, or language, Vectara delivers the most relevant and dependable answer via our “Grounded Generation” technology.
Hybrid search - large language model (LLM) based retrieval and boolean exact match to answer your users’ questions first
Vectara doesn’t just summarize individual documents, but helps answer your users’ questions by looking across them all before answering
APIs are designed for consumption by application developers and data engineers who wish to include elements of a search pipeline within their site or application.
Custom dimensions allow developers to attach key data attributes that could be relevant in scoring results.
Addresses the main drawbacks from using pure generative AI
Relevant facts from only this user’s data are retrieved
Relevant facts are summarized into a response
Executives know they need to start integrating GenAI into their products, and developers and product managers are ready, but trust and security concerns cause trepidation . At Vectara, we've built our platform with this top of mind from day one.
Data encrypted at every stage using military-grade encryption algorithm.
Robust role-based access control available. Access granted via API keys or OAuth 2.0
SOC 2-compliant & independently certified
All user data isolated for maximum security. Data can be further segregated into individual corpora for logical separation within an account.
Customers can employ their own encryption keys to hide account data even from Vectara's engineering team.
HIPAA
Executives know they need to start integrating GenAI into their products, and developers and product managers are ready, but trust and security concerns cause trepidation . At Vectara, we've built our platform with this top of mind from day one.
All data is encrypted both in transit and at rest using military-grade encryption algorithm
Robust role-based access control (RBAC) is available and access can be granted with either API keys or OAuth 2.0
SOC 2 compliant & independently certified
All user data is logically separated from one another, to ensure maximum security. Data can even be further segregated into individual corpora to logically separate within an account
For maximum paranoia: Customers can bring their own encryption keys to encrypt their account data so that even Vectara engineering team cannot gain access to your data
Vectara is RAG-as-a-service, encapsulating the various components required for a scalable and high-performance RAG pipeline (document processing, an embedding model, a retrieval engine, a reranker, and an LLM) behind an easy-to-use developer API. Developers use Vectara to build RAG and semantic search applications by using the API to index their documents and respond to user queries with the full power of RAG, while Vectara works behind the scenes to execute the RAG ingest and query flows in a secure and scalable way while maintaining low latency and low TCO.
Vectara offers a 30-day free trial complete with nearly all of the enterprise features of the platform.
Vectara gives all types of builders an end-to-end platform for embedding powerful generative AI capabilities into your app or site without the need for data science and machine learning experience.
Some of Vectara’s unique differentiators include:
All you need to do is sign up with a company email address. You will then get access to the Vectara console to get started with ingesting documents and testing the platform.
For more information on setting up Vectara, you can check out our Getting Started and Docs.
Discover what a difference Retrieval Augmented Generation can make.
I am very excited for how Vectara enables better search on product reviews. This will create tremendous value for both consumers and ecommerce companies.
Vectara is opening the door to transformational change in search technology, not only delivering more accurate and relevant results but making cutting-edge neural technology accessible to almost any developer.
Vectara's neural search is the future of how people will interact with content. They are solving a major problem, the founders are incredibly well suited for the task, and their early customer feedback is very promising.
Vectara is the first platform that harnesses NLP’s transformative power and makes it practical and useful, empowering developers everywhere with the most advanced AI available.
Vectara represents a huge leap forward in search technology. Offering neural search-as-a-service, the platform provides a complete solution that gives developers API access to the most advanced NLP & AI site-level search in just minutes.
Most people rely on search to navigate websites and applications, including our product, but the underlying technology has not significantly evolved in decades. By applying cutting-edge neural networks, Vectara is bringing much-needed innovation to improve product search.
I am very excited for how Vectara enables better search on product reviews. This will create tremendous value for both consumers and ecommerce companies.
Vectara is opening the door to transformational change in search technology, not only delivering more accurate and relevant results but making cutting-edge neural technology accessible to almost any developer.
Vectara's neural search is the future of how people will interact with content. They are solving a major problem, the founders are incredibly well suited for the task, and their early customer feedback is very promising.
Vectara is the first platform that harnesses NLP’s transformative power and makes it practical and useful, empowering developers everywhere with the most advanced AI available.
Vectara represents a huge leap forward in search technology. Offering neural search-as-a-service, the platform provides a complete solution that gives developers API access to the most advanced NLP & AI site-level search in just minutes.
Most people rely on search to navigate websites and applications, including our product, but the underlying technology has not significantly evolved in decades. By applying cutting-edge neural networks, Vectara is bringing much-needed innovation to improve product search.
Improve user engagement and conversions with unparalleled search relevance
API-addressable at every level
Run in minutes