Search Software Expertise

We have deep experience with different search technologies

Elasticsearch is a highly scalable, distributed, RESTful search and analytics engine designed for storing, searching, and analyzing large volumes of data.

It is an open-source software tool that uses the Lucene search engine library for full-text search capabilities and offers a wide range of features such as data indexing, search queries, and analytics.

Elasticsearch is part of the Elastic Stack, which includes Logstash for log ingestion and Kibana for data visualization and management.

OpenSearch is an open-source, community-driven search engine and analytics platform that forked from Elasticsearch.

OpenSearch provides similar features as Elasticsearch, including full-text search, analytics, and indexing. It is highly scalable, distributed, and can handle large volumes of data.

OpenSearch is also fully customizable, with many plugins and integrations available to extend its capabilities.

Search Pioneer's Pinecone client is available on github. is a cloud-native vector database that optimizes the storage and querying of vector embeddings for high-performing AI applications, facilitating features like real-time data updates and hybrid search capabilities. It supports a wide array of applications such as recommendation systems, fraud detection, and similarity search, making it a versatile tool for managing large-scale, complex datasets​.

Search Pioneer bootstrapped the official client available on github. is a vector similarity search engine and database designed to manage and search high-dimensional vectors efficiently. It provides a production-ready service equipped with a user-friendly API that supports extended filtering capabilities, making it ideal for applications that involve neural network or semantic-based matching, recommendation systems, and more​​. is a machine learning-powered search engine for businesses that helps them to find relevant information from their data using natural language queries.

It uses AI algorithms to analyze data and provide accurate search results. is designed to work with structured and unstructured data, making it easy for users to search across different data sources such as databases, spreadsheets, and cloud storage.

The platform offers a user-friendly interface and enables users to search using conversational language, which makes it more intuitive and easier to use.

Search Pioneer's Weaviate client is available on github.

Weaviate is an open-source, cloud-native, and real-time vector search engine powered by machine learning. It is designed to help developers build intelligent applications with natural language processing and machine learning capabilities.

Weaviate can automatically extract meaning from data and generate semantic vector representations of objects. It supports advanced features such as classification, clustering, and recommendations, and it can scale horizontally to handle large volumes of data.

Solr is an open-source, Java-based search platform that provides full-text search, hit highlighting, faceted search, dynamic clustering, and database integration.

It can work with structured and unstructured data, and can index and search a wide variety of content types such as XML, JSON, and binary files. Solr is highly scalable and can handle large volumes of data and can be customized to meet specific search requirements.

The ELK Stack is an open-source collection of three powerful tools - Elasticsearch, Logstash, and Kibana - used for log management, search, and analytics.

Together, these three tools form a powerful data analytics stack that can be used to manage and analyze large volumes of data in real-time, making it easier for businesses to monitor their systems, track performance, and troubleshoot issues.