elastic/elasticsearch-php

Features

• Full Text Search - Implements fast lexical, fuzzy, and semantic search capabilities within PHP applications.
• Semantic Vector Search - Integrates embeddings for text and images to enable semantic retrieval workflows.
• Cluster Connectivity - Provides mechanisms to establish secure network connections to remote Elasticsearch clusters.
• Document Lifecycle Management - Provides tools to index, retrieve, update, and delete individual or bulk documents within an index.
• Database Backup and Restore - Manages snapshot repositories and performs backup and restore operations for data durability.
• Bulk Indexing - Implements high-throughput operations for indexing documents individually or in bulk batches.
• Document Search Engines - Provides a client to retrieve specific documents from the search index based on defined filters and criteria.
• Search Index Management - Provides tools for configuring, querying, and maintaining search indices and mappings.
• Index Initialization - Enables the initialization and configuration of new indices to define data organization for retrieval.
• Elasticsearch Clusters - Provides a management interface for cluster health, security roles, snapshots, and tiered storage.
• Vector Search - Provides an interface for retrieving embeddings and performing semantic retrieval based on mathematical similarity in vector spaces.
• API Wrapping - Wraps raw HTTP calls in a high-level object-oriented API to abstract the REST protocol.
• Client Method Mappings - Maps internal PHP method calls directly to corresponding HTTP verbs and endpoints on the remote server.
• Cluster Management Tools - Provides a programmatic interface for automating administrative tasks, configuration, and maintenance across Elasticsearch clusters.
• Index Administration - Provides comprehensive control over index creation, deletion, mapping updates, and performance operations.
• Inference Endpoint Integrations - Supports the creation and configuration of endpoints for running models from external or local providers.
• Machine Learning Orchestration - Facilitates the deployment and execution of large language models and anomaly detection jobs.
• Model Training and Inference Engines - Allows users to upload and deploy machine learning models for real-time inference in production.
• Model Inference Execution - Enables the execution of large language models directly on hosted data to power automated agents.
• Observability and Monitoring - Ingests and correlates logs, metrics, and traces to provide comprehensive system observability and health tracking.
• Behavioral Analytics - Enables the creation and management of collections to analyze user search and click behavior.
• Automated Snapshot Lifecycles - Allows the definition of policies to automatically create and retain snapshots based on rules.
• Data Enrichment Policies - Allows the definition and execution of policies to automatically add supplemental data to incoming documents.
• Document Ingestion Pipelines - Enables the creation and simulation of pipelines to process and transform documents before indexing.
• SQL-like Queries - Filters and analyzes data using a SQL-like syntax via the ES|QL interface for efficient querying.
• Geospatial Search - Enables searching and analyzing data using geo-distance, polygons, and hexagonal spatial analytics.
• Multimodal Data Storage - Saves structured, unstructured, and vector data in a single system using columnar storage.
• Real-Time Data Aggregators - Implements real-time data aggregation and transformation of high-cardinality data for immediate operational insights.
• Data Stream Management - Supports the creation and modification of append-only time series data streams for logs and metrics.
• Indexed Data Aggregations - Executes computational operations to summarize and aggregate data from indexed documents.
• Event - Executes event query language searches for analyzing time series data like logs and traces.
• Index Lifecycle Management - Provides policies to transition indices through different stages based on age or size.
• Search Synonym Mappings - Allows the definition and grouping of synonym sets to improve search relevance.
• SQL Query Execution - Executes SQL queries against indices and translates statements into a domain specific language.
• Stored Script Management - Provides the ability to add, update, and execute custom logic scripts using a specialized scripting language.
• Identity and Access Management - Manages user creation, role definition, and API keys for secure cluster access.
• Threat Detection - Monitors data using AI-driven analytics and detection rules to identify security threats.
• Anomaly Detection - Enables the creation and management of detection jobs to identify unusual patterns in metrics and logs.
• Elasticsearch Health Monitors - Provides specialized interfaces for tracking the health, node availability, and performance of Elasticsearch clusters.
• Elasticsearch Alerting - Enables the creation of watches to monitor data changes and trigger automated alerts.
• Log Analytics Platforms - Enables the ingestion and analysis of time series data like logs and metrics for operational insights.
• Pipeline Lifecycle Managements - Facilitates the creation and configuration of data pipelines for central log processing management.
• Search Engines - Offers the official ElasticSearch client.

Istoric stele