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Hosted search-as-a-service platform delivering real-time, full-text search for apps and websites
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Fast, lightweight, schema-less search backend returning IDs in microseconds
Sonic delivers ultra‑fast, low‑resource search with schema‑less indexing, typo correction, auto‑completion, and Unicode support, returning identifier tuples for external data retrieval.
Sonic is a high‑performance search engine designed for developers who need instant lookup without the overhead of full‑text platforms. It indexes plain terms and maps them to external identifiers, leaving document storage to your own database. Queries are answered in microseconds while the server consumes roughly 30 MB of RAM and a minimal CPU budget, making it suitable for modest cloud instances.
The engine organizes terms into collections and buckets, enabling per‑user or per‑tenant isolation. Built‑in typo correction and real‑time auto‑completion improve user experience, and full Unicode handling covers over 80 major languages. Interaction occurs via the lightweight Sonic Channel protocol, with client libraries available for many languages. Deployment options include Debian packages, Cargo installation, Docker images, or building from source.
A typical setup runs Sonic on a single‑vCPU VM, connects it to an existing relational or NoSQL store, and uses the identifier results to fetch full records. This pattern is used by services like Crisp to power chat, help‑desk, and contact search at massive scale.
When teams consider Sonic, these hosted platforms usually appear on the same shortlist.
Hosted search-as-a-service platform delivering real-time, full-text search for apps and websites
Managed search service to index and query text & structured data
AI-powered enterprise search service that indexes and searches across various content repositories with natural language queries
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Chat message lookup
Instantly retrieve message IDs matching user queries, enabling fast conversation search.
Help‑desk article search
Provide agents with relevant article suggestions as they type, improving support efficiency.
Multi‑tenant SaaS isolation
Create a separate bucket per tenant, keeping each customer's index independent and secure.
Mobile app autocomplete
Deliver snappy word suggestions with minimal backend resources, enhancing user experience.
It stores only term‑to‑identifier mappings; full documents remain in your external database.
Full Unicode handling for over 80 of the most spoken languages, with automatic stop‑word removal.
Use the lightweight Sonic Channel protocol via client libraries available for many programming languages.
Typical deployments run on ~30 MB RAM and a low‑CPU footprint, often on a 1‑vCPU cloud instance.
Official binaries target 64‑bit Debian/Ubuntu; on Windows you need to compile from source or use the Docker image.
Project at a glance
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