Best Semantic Search Software for MongoDB
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Compare the Top Semantic Search Software that integrates with MongoDB as of September 2025
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This a list of Semantic Search software that integrates with MongoDB. Use the filters on the left to add additional filters for products that have integrations with MongoDB. View the products that work with MongoDB in the table below.
What is Semantic Search Software for MongoDB?
Semantic search software is a type of technology that is designed to understand the intent and context of a query as well as extract relevant information from documents. It uses natural language processing and machine learning techniques to interpret user queries in order to figure out what the user is looking for. This type of technology helps to provide users with more accurate search results than traditional keyword-based searches. Semantic search software can be used in many different applications, such as web searching and text analytics. Compare and read user reviews of the best Semantic Search software for MongoDB currently available using the table below. This list is updated regularly.
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Rinalogy Search
Rinalogy
Almost any search query applied to Big Data returns a very large number of results that are often practically impossible to review. Every user has specific needs. Finding information based on a user query and general data statistics does not produce useful results. eDiscovery, healthcare, financial services, crime, consulting, academia and other fields need to be able to quickly find accurate information. Rinalogy Search is a next generation search tool that uses machine learning to interactively learn from each user to return personalized results based on user’s feedback in real time. Rinalogy Search returns relevancy scores for individual documents in the results for each query. Rinalogy Search can be deployed in clients’ IT infrastructure, close to your data and behind your firewall. Rinalogy allows users to define the level of importance of search concepts by assigning weights to them, which helps finding the results You are looking for.Starting Price: $50 per month -
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GraphDB
Ontotext
*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle). -
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Bloomreach
Bloomreach
Bloomreach personalizes the e-commerce experience. Its data engine unifies real-time customer and product data so businesses understand what customers really want. By connecting that understanding to every channel, the e-commerce experience becomes limitless — reflecting a changing customer as they shop. Amplified by the speed and scale of Loomi, Bloomreach's AI for e-commerce, this creates endless new paths to purchase. Bloomreach products include: Engagement, a marketing automation platform; Discovery, an e-commerce search solution; Content, a headless CMS; and Clarity, AI-powered conversational shopping. The company has multiple AI patents and serves global brands that include Williams-Sonoma, Bosch, Puma, and Marks & Spencer.
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