Compare Inbenta vs Datafari

Summary

Inbenta Knowledge is a powerful AI-based knowledge center that enables you to rapidly locate answers, manage knowledge, and easily produce knowledge to improve self-service. Inbenta's Knowledge, which is powered by a high-performing AI, allows for search by meaning and can translate human language to provide rapid responses to recurring user requests, resulting in higher customer satisfaction. Support requests are dramatically reduced, and your agents can focus on the few challenging issues that require human interaction, by providing keyword-agnostic access to commonly asked questions, product specifications, and more. Its robust analytics capabilities assist you in identifying search trends, popular subjects, and content gaps, allowing you to better respond to client requests and maximize self-serve assistance. Up to 95% correct response rates and a 10:1 self-service ratio are the results. Plus, owing to our long-tail SEO capabilities, your knowledge content may be indexed to help you enhance Google ranks and attract more traffic. The tool's ability to connect to third-party integrations and content sources via webhooks, APIs, and SDK connectors is the cherry on top. ..show more

Datafari is a very simple-to-use open source Website Search software and lets the users find the data they are looking for. However, despite being very simple in its overlay, it is extremely useful when it comes to having many connectors and huge data architecture. It uses an advanced form of Artificial Intelligence and also Machine Learning in order to get the relevance of the search results to be high. It simplifies the search process by getting Smart Autocomplete into the feature list. Moreover, to make things even more convenient for the visitors, the search queries can be saved and if there are any modifications or additions to the search results, they will be informed via an email. It comes with a very responsive user interface and quality of adapting to devices well, is very customisable and is based on CSS and HTML. ..show more

App Integration Facilitates search in applications

Auto Completion Guide users to the content, answers, or products that matter most with real-time results right as they type.

Customizability Can be customized to a great extent to extract best results

Filter Search Results Filter search results using secondary attributes like date, price, author, location, or content type, etc

Indexing Allows to index content to support the search mechanism.

Machine Learning An intelligent automation process that allows a bot to imitate or predict behavior by learning from historical behavioral patterns.

Multi-Platform Lets the user search content across multiple platforms (domains, web properties etc.) with a single search

Multilingual Search Supports search in websites with non-English content as well

Search Relevance Display all of the most appropriate content based on the search terms

Text Analytics Improves customer engagement by analyzing the available text data

Top alternatives to Inbenta

Elasticsearch

Algolia Site Search

Apache Solr

Site Search 360

AddSearch

Top alternatives to Datafari

Elasticsearch

Algolia Site Search

Apache Solr

Site Search 360

AddSearch