About
About StreamSearch
StreamSearch is a real-time, distributed search platform built for organizations that need fast indexing, scalable retrieval, and AI-ready data pipelines. Inspired by modern streaming architectures, StreamSearch blends the reliability of Apache Kafka and Pulsar with the power of Lucene to deliver enterprise-grade search with predictable performance at scale.
What StreamSearch Solves
Real-Time Search Over Event Streams
Index documents the moment they arrive—no batch delays, no bottlenecks.
Distributed & Fault-Tolerant Architecture
Sharded indexing, replicated consumers, and horizontal scalability designed for high-throughput systems.
Search for the AI Era
Vector search, hybrid ranking, zero-knowledge architecture, and integration with LLM-based retrieval pipelines.
Flexible Ingestion for Enterprise Data
Kafka, Pulsar, API ingestion, file plugins, JDBC sources, and content pipelines backed by MinIO and cloud object storage.
Elastic-Style Developer Experience
Search, index, and query APIs that feel familiar—simplified for clarity but optimized for streaming.
Technology Foundations
StreamSearch is built on technologies proven in large-scale, production environments:
- Lucene for high-performance indexing and relevance
- Kafka / Pulsar for distributed ingestion and query routing
- MinIO for durable, S3-compatible object storage
- Prometheus for metrics and operational visibility
Why StreamSearch Exists
Traditional search engines were designed for static documents.
Modern systems run on streams.
StreamSearch bridges the gap — combining the power of real-time ingestion with search semantics, ranking, analytics, and plug-and-play extensibility. Enterprises get fast search, predictable costs, and complete architectural transparency.
Built by Saeed Shahsavan
StreamSearch is created and architected by Saeed Shahsavan, a Software Architect with 18+ years of experience in distributed systems, enterprise integration, event-driven platforms, and search engine design.
He is also the author of the upcoming book:
Building Enterprise Projects with Go — a practical guide to designing scalable and maintainable systems.