Elasticsearch

Elasticsearch is a free and open source, distributed, RESTful search and analytics engine. It is designed for scalability, speed, and relevance, and can be used as a vector database optimized for production-scale workloads. Elasticsearch is the core of Elastic’s open Stack platform and is suitable for a wide range of use cases including full-text search, vector search, analytics, and more.

Features

• Distributed architecture: Scalable and fault-tolerant design for handling large datasets and high availability.
• RESTful API: Interact with Elasticsearch using HTTP APIs for indexing, searching, and managing data.
• Search capabilities: Supports full-text search, vector search, and semantic/natural language search.
• MCP server integration: Enables LLMs and other clients to interact with Elasticsearch clusters for managing indices and executing search queries using natural language.
• Data types: Supports structured, unstructured, numerical, and geospatial data.
• Real-time search: Near real-time indexing and searching of documents.
• Bulk operations: Efficiently index or update multiple documents in a single request.
• Integration with Kibana: Visualize and explore data, create dashboards, and perform analytics.
• APIs and clients: Language clients available for various programming languages (e.g., Python, Java, etc.).
• Monitoring and APM: Collect and analyze logs, metrics, and application performance data.
• Security features: Basic authentication, API keys, and more (features depend on license level).
• Machine learning and AI: Integrate with generative AI applications, vector search, and Retrieval Augmented Generation (RAG) use cases.
• Extensible via plugins and modules.
• Open source: Licensed under Elastic License.

Use Cases

• Retrieval Augmented Generation (RAG)
• Vector search
• Full-text search
• Logs and metrics storage and analysis
• Application performance monitoring (APM)
• Security logs analysis

Installation & Setup

• Cloud deployment: Managed Elasticsearch Service on Elastic Cloud.
• Self-managed deployment: Download and install on your own infrastructure.
• Local development: Docker-based setup for Elasticsearch and Kibana for testing and development.

Pricing

• Free and Open – Basic: Includes core features and is open source.
• Trial license: One-month trial includes all Elastic features; after the trial, reverts to Free and Open – Basic.
• Paid subscriptions: Additional features and support available via Elastic's commercial subscriptions (details available on Elastic subscriptions page).

Source

• GitHub Repository