THE MOST ADVANCED CONVERSATIONAL AI PLATFORM FOR ENTERPRISE
We leverage LLMs to understand the context of a search query and to provide more relevant results across your enterprise content including webpages, PDFs, CSV, Excel, Word, Powerpoint, and more.
Whether you make add, update, or delete any of your content, Avaamo Answers stays up to date with with your content, automatically.
Instead of coming back with document links as results, Avaamo Answers responds with precise answer(s) from the ingested content with references. All results are based on meaning, not keywords.
Avaamo Answers is aware of the user asking the queries and responds with the most suitable information after considering various metadata such as user location, team/department, and even access levels and permissions.
Enterprise Search Engines are keyword-based and don’t understand user queries or the document semantically. Hence, ends up with 100’s of results.
Enterprise Search Engines treat each user query as different. It neither stores the context nor asks a follow up question to find answer.
Domain experts cannot incorporate their knowledge or improve answers based on user feedback.
Search engines don’t give an answer but redirect users to a page — a bad user experience.
Search doesn’t integrate to customer experience applications like Live Chat, Lead Management, Surveys, Recommendations, etc.
Search doesn’t lend itself to a voice based conversational experience.
Avaamo Answers uses our proprietary NLU technology, which has been proven battle-tested and deployed at scale, with millions of users worldwide. Avaamo’s NLU engine provides a core infrastructure already known in the market for its scalability, reliability, and accuracy. In addition, it has the ability to handle many prioritized inference tasks (co-referencing, negations, time reasoning, etc.) on the incoming user query. Our NLU technology offers advanced techniques in intent matching and disambiguation. It has a superior language-understanding ability to handle wide variances in user language such as identifying “bag of words”, domain syntax, misspelled words, and short form phrases.
In addition to our proprietary NLU, Avaamo Answers leverages large language models (LLMs), like ChatGPT to achieve an unprecedented level of language understanding without human training, to retrieve relevant answers from a large corpus internal and external content, all while maintaining enterprise-level security and compliance.
Context awareness ensures relevant and precise answers. Answers™ personalizes responses based on user’s location, role, and access, giving a precise answer rather than serving up links to multiple documents that cite policies or guidelines.
Specificity: Our approach to performing QA from a large set of documents is to retrieve relevant context out of underlying documents that may contain the answer. This reduced context is input to the reading comprehension model to fetch the final answer for the user query. To retrieve context from a question, we parse the uploaded content semantically and use various models to ascertain specificity, coupled with independent n-gram scoring and fetch the answer in context, based on semantic relevance of the user query.
Improving Accuracy: Signals including identity, location, previous answers—all multiple modes of answering—are combined and ranked to provide unambiguous results. This includes boosting probabilities based on linguistic post-processing of previous response in relation to the question type. Scores at each level of all probable answer candidates are browsed to suggest likely answers based on various hard-lines and then returned with a normalized confidence score.
Avaamo Answers queries the user in a human-like manner to get clarification and narrow down the specificity before a question is answered. To handle complex queries, Avaamo Answers dynamically builds a knowledge graph around documents, support questions, and tickets to facilitate multi-step reasoning. This knowledge graph is created based on pre-built classification models to identify implicit vs. explicit relationships. Avaamo Answers’ knowledge graph is built in real time based on the content that is available, in order to answer queries with a level of specificity that is not available elsewhere in the market.
Learn the latest on our breakthrough software Avaamo Answers™. Make your knowledge base conversational.