Features

• 

  AI Search Integrated with LLM

  AI Search Integrated with LLM

  Incorporates state-of-the-art relevance ranking with BM25f and hybrid search, plus management of custom transformer models for context-specific searches, enhanced by integrating with large language models such as Qwen.

• 

  High Relevance Semantic Search

  High Relevance Semantic Search

  Offers machine learning-enabled search with zero model training, leveraging Elasticsearch vector database for creating and searching dense embeddings and providing semantic search capabilities through the Learned Sparse Encoder.

• 

  Hybrid Information Retrieval

  Hybrid Information Retrieval

  Delivers petabyte-scale, multilingual full-text and vector-based searches with rapid responses via RESTful APIs and supports hybrid ranking techniques like Reciprocal Rank Fusion for a tailored AI search experience.

• 

  Natural Language Processing

  Natural Language Processing

  Supports extensive NLP tasks and models, allowing searches across dense embeddings and the use of third-party transformer models, complemented by tools like LangChain for building AI-powered data applications.

• 

  Comprehensive Management Platform

  Comprehensive Management Platform

  Provides an array of tools for data aggregation, analysis, and visualization, including Kibana for multi-scenario monitoring, remote account integration, and RBAC for secure, enterprise-grade data management.

• 

  Cloud-Native Platform Excellence

  Cloud-Native Platform Excellence

  Features a cloud-native Elasticsearch service with fully managed clusters, high availability, elastic orchestration, lifecycle management, security, and cost-effective Serverless computing options in partnership with Elastic.co.