It is easy to become overloaded from the many high volume information flows that exist on the Internet. We are excited to announce KvasirA, a smart content discovery tool to help you manage this rising information flood.
Traditionally, searching for related content to the document you're reading requires you to read enough to figure out some relevant keywords, and to enter those keywords into a search engine. For all but the simplest documents, you'll probably need to iterate this process several times, unless you're already intimately familiar with the knowledge domain:
KvasirA enables a different, more efficient, workflow that uses the document you are reading as the query directly. KvasirA takes the document you provide, matches it against documents in one or more of the libraries it maintains, and returns the semantically closest documents -- that is, those with a similar *meaning:*
At the heart of KvasirA are a set of document libraries. Each library is created by ingesting documents in a variety of common formats and can be incrementally updated over time. Each document passes through a machine learning pipeline that is completely automated and managed by us — no need to train your own models or tweak parameters!
To query a document library, you simply provide a document of your own. KvasirA supports a range of formats including plain text, PDF, or a link to a webpage. KvasirA then returns documents similar to the query from the chosen document library. For example, we can query Wikipedia with the URL http://kvasira.com
KvasirA provides a straightforward interface for creating and querying document libraries via our website, along with a growing number of integrations into third-party tools provided using our flexible API. Our API enables KvasirA to be used for a variety of applications, such as:
- Search and management: Index your documents with KvasirA and use it to present a system for providing a fast search function with minimal setup.
- Recommender systems: Embed an automated KvasirA search on a page to recommend similar content to users. For example, KvasirA can be used to present the user similar news articles based on the one they are currently reading.
- Exploratory search: When you don't know what you're looking for, you can perform iterative searches using the engine to discover new and interesting content from a given starting document.
KvasirA makes it easy to create and curate pipelines for your own document libraries in over 10 languages, including English, French, Spanish, and Arabic. Your query document does not even need to be in the same language as the document library you're matching against!
Give KvasirA a try using one of our curated document libraries at demo.kvasira.com
We're working hard to release new integrations and features. If you're interested in a full demo, indexing your own documents or think you have a great use for KvasirA, drop us an email at firstname.lastname@example.org
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Intelligent Assistant actively monitors interactions between people to proactively provide information and assistance when they need it.
When interfacing with people, whether through a chatbot or communication tool such as Yammer, Slack, or Teams, information can be hard to find since it’s not always presented in the right way and users do not always know the right keywords or phrases to trigger accurate knowledge retrieval.
That’s where Intelligent Assistant comes in. Using Kvasir’s unique Machine Learning, NLP, and Sematic technology Intelligent Assistant is not restricted to a few random keywords. Intelligent Assistant can monitor the entire dialogue between people and make intelligent suggestions, prompts, and recommendations to guide people to the information they need to help in their decision making perhaps even before they know they need it.
Intelligent Assistant is a cloud based and uses simple API calls which mean it can easily be integrated with any chat application. And you can select which libraries to use as source information.
Intelligent Assistant dramatically saves you time and helps your business become more efficient by proactively providing the right information to the right people at the right time.