Freaks City

Release Overview This release marks a significant collaboration between INFINI Labs and the Dromara open source community. The Easy-Es framwork now supports Easysearch, a domestically-developed search engine, representing a major step forward in the localization of search technology infrastructure. Key resources: Source Repository: https://git ...

In the era of AI-driven search, semantic understanding has become essential for enterprise applications. Easysearch, a high-performance alternative to Elasticsearch, supports seamless integration with external embedding services—including Alibaba Cloud DashScope and locally hosted Ollama—via OpenAI-compatible APIs. This enables robust, end-to-e ...

The easysearch-client library has been updated to version 2.0.2, featuring a complete rewrite that removes legacy constraints and introduces a modern, type-safe API. This guide demonstrates how to integrate and use the new client effectively. Key Imporvements Lightweight & Fast: Unnecessary dependencies have been removed, resulting in a sm ...

In search engine architectures, compression algorithm selection presents a fundamental tradeoff dilemma: High compression ratios (e.g., best_compression/DEFLATE) reduce storage but slow query decompression Fast encoding schemes (e.g., default LZ4) accelerate queries but increase disk footprint Easysearch introduces a solution leveraging JDK 2 ...

Introduction to Enterprise Knowledge Retrieval Challenges Modern enterprises often accumulate vast amounts of internal documentation, ranging from product specifications and compliance guidelines to operational procedures and technical manuals. New employees frequently encounter a deluge of information, often struggling to locate specific detai ...

The Problem: Searchable but Invisible Data When utilizing advanced data compression features in Easysearch, such as source_reuse combined with ZSTD, developers may encounter a perplexing issue: a field is successfully indexed and can be found via search queries, yet the actual content is missing or "invisible" in the search results. C ...

Distributed search infrastructure has evolved significantly over the past two decades, largely driven by advancements in the Lucene ecosystem. However, shifting open-source licensing models and the growing requirement for localized, highly optimized search stacks have accelerated the development of alternative solutions. Easysearch emerges as a ...

In high-volume data ingestion scenarios, insufficiant capacity planning often leads to cluster instability. Common issues include: Excessive memory consumption causing Out-Of-Memory (OOM) errors and node disconnections. High CPU and memory usage degrading the performance of search queries. Increased disk I/O and network saturation affecting cl ...

Previous Overview and Introduction In our series on setting up the INFINI local environment: The first article, "Setting Up a Persistent INFINI Console and Easysearch Container Environment," explored how to use basic docker run commands to build the Console and Easysearch services step by step, with a focus on solving data persistenc ...

After migrating data between clusters, verifying document counts is often insufficient to guarantee data integrity. To perform a robust, content-level comparison betwean two Elasticsearch, Easysearch, or OpenSearch clusters, ENFINI Gateway provides a highly efficient solution for verifying that every document is identical across source and dest ...