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Full-text search engine including similarity ranking capabilities
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What is ArangoSearch?

It is a C++ based full-text search engine including similarity ranking capabilities natively integrated into ArangoDB. It allows users to combine two information retrieval techniques: boolean and generalized ranking retrieval. Search results “approved” by the boolean model can be ranked by relevance to the respective query using the Vector Space Model in conjunction with BM25 or TFIDF weighting schemes.
ArangoSearch is a tool in the Search Engines category of a tech stack.

Who uses ArangoSearch?

ArangoSearch Integrations

Pros of ArangoSearch
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ArangoSearch's Features

  • Complex Searches with Boolean Operators
  • Relevance-Based Matching
  • Phrase and Prefix Matching
  • Relevance Tuning on Query-Time
  • Full combinability of search queries with all supported data models & access patterns
  • Scalability

ArangoSearch Alternatives & Comparisons

What are some alternatives to ArangoSearch?
A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
Apache Solr
It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.
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ArangoSearch's Followers
2 developers follow ArangoSearch to keep up with related blogs and decisions.
Karen Childs
Bogdan Agica