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Announcing Lucenia v0.8.1: A Major Performance Release for Keyword and Vector Search

· 3 min read
Maria Carrero
Maria Carrero
Lucenia Team

Lucenia 0.8.1 is a performance-driven release focused on one core mission: making retrieval faster, more efficient, and more scalable across both traditional and AI-powered workloads. Built on a powerful upgrade to Apache Lucene 10.3.1, this release delivers measurable speed improvements across lexical search, vector search, and primary key lookups.

Whether you're running high-volume log analytics, powering private-cloud AI retrieval, or supporting real-time enterprise search, Lucenia 0.8.1 strengthens the foundation of your search infrastructure—without adding complexity.

This release brings faster queries, lower CPU overhead, and better performance at scale, all while maintaining Lucenia's commitment to private, controlled deployments. Read more below for a full highlight review.

Key Highlights​

1. Lucene 10.3.1 Upgrade: A Stronger Core for Modern Retrieval​

At the core of Lucenia 0.8.1 is an upgrade to Lucene 10.3.1, bringing meaningful improvements to both indexing and retrieval operations.

This upgrade enhances:

  • Low-level query execution
  • Index performance and stability
  • Hybrid keyword + vector workflows
  • Internal optimizations for AI-driven retrieval

By strengthening the engine underneath Lucenia, every layer above it—search APIs, analytic workloads, and AI pipelines—benefits automatically. This provides a more future-proof foundation for both traditional search and next-generation retrieval use cases.

2. 40% Faster Lexical Search with Vectorized Execution​

Keyword search remains essential for observability, security, and enterprise discovery—and in 0.8.1, it's significantly faster.

Lucenia now uses vectorized search powered by SIMD (Single Instruction, Multiple Data) instructions, allowing multiple operations to be executed in parallel at the CPU level.

This results in:

  • Up to 40% faster disjunctive (OR) queries
  • Faster conjunctive (AND) queries
  • Lower CPU usage under heavy query loads
  • Smoother performance for real-time dashboards and filtering

For teams running large-scale log search, SIEM workloads, or metadata-heavy search systems, this translates directly into faster response times and better cost efficiency.

3. 20% Faster Vector Search for AI Retrieval​

Vector search performance is critical for modern AI pipelines—from semantic search to retrieval-augmented generation (RAG). In Lucenia 0.8.1, vector performance is improved through better parallel fetching of vectors into CPU cache.

This optimization delivers:

  • Up to 20% faster kNN and vector similarity queries
  • More efficient memory access during retrieval
  • Higher throughput for AI workloads
  • Better performance consistency under concurrent load

For organizations running private AI systems, this means faster semantic results without the cost and data risks of managed cloud platforms.

4. 30% Faster Primary Key Lookups​

Exact-match retrieval is foundational for indexing pipelines, event correlation, and real-time systems. Lucenia 0.8.1 introduces optimizations to the terms dictionary, delivering:

  • Up to 30% faster primary key lookups
  • Faster indexing throughput
  • Improved TermInSet query performance
  • Lower latency for ID-based search patterns

This directly benefits workloads that depend on fast identity resolution, telemetry pipelines, and structured data lookups.

What This Release Unlocks​

Lucenia 0.8.1 brings performance gains across every major retrieval path:

  • Faster keyword search
  • Faster vector similarity search
  • Faster exact-match lookups
  • Lower CPU cost per query
  • Better scalability under load

These improvements don't just make Lucenia faster—they make it more economical to operate at scale, especially in private-cloud, on-prem, and hybrid environments where efficiency directly impacts infrastructure cost.

Lucenia continues to evolve as a retrieval-native engine.

Get Started Today​

Lucenia 0.8.1 is available now. Download it here and bring retrieval-native intelligence to your AI workflows—faster, smarter, and in real time.