typesense
Typesense is a blazing-fast, in-memory fuzzy search engine built in C++. It provides typo tolerance, faceted filtering, geosearch, vector search, and semantic/hybrid search out of the box. Easy to set up, operate, and scale, with no runtime dependencies.
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A fast, typo-tolerant open-source search engine - a simpler alternative to Algolia and ElasticSearch.
Core Features
- Typo tolerance: automatically handles misspellings without configuration
- Blazing fast: <50ms search latency due to C++ and memory-first architecture
- Tunable ranking: customize search result ordering
- Faceting & filtering: drill down and refine results dynamically
- Federated search: query multiple collections in one request
What It Can't Do
- •Typesense stores indexes in RAM, so large datasets (e.g., 28M books) require significant memory (~14GB). Not suitable for low-memory environments. The open-source version is GPL-3.0 licensed; commercial use may require a different license.
Use Cases
- E-commerce: product search with filtering, sorting, and recommendations
- Documentation sites: full-text search with instant suggestions
- Location-based apps: search restaurants, listings by proximity
Detailed Introduction
Typesense是一个用C++构建的内存模糊搜索引擎，以极低延迟（<50ms）处理搜索请求。它提供拼写容错、排序、筛选、地理搜索、向量搜索和语义搜索等功能，可轻松替代Algolia或ElasticSearch。支持分布式集群、无运行时依赖，易于部署和扩展。
Troubleshooting & FAQ (1)
TroubleshootingHow to fix 'type must be string, but is null' error in Typesense with Cloudflare Workers AI streaming?
This error occurs in Typesense v30.1 when using Cloudflare Workers AI for conversational search. Cloudflare's final SSE chunk contains "response": null, causing a JSON type error. Upgrade to a Typesense version where this is fixed (v30.2+ possibly). As a workaround, in conversation_model.cpp line 978, add a null check before accessing the response field: if (chunk["response"].is_null()) continue;. This skips the usage-only chunk and allows the streaming response to be processed correctly.
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Getting Started
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Run with Docker: docker run -p 8108:8108 -v/tmp/data:/data typesense/typesense:29.0 --data-dir /data --api-key=Hu52dwsas2AdxdE
Install Python client: pip install typesense
Write a script to create collection, index documents, and perform search (see official docs)
- Run with Docker: docker run -p 8108:8108 -v/tmp/data:/data typesense/typesense:29.0 --data-dir /data --api-key=Hu52dwsas2AdxdE
- Install Python client: pip install typesense
- Write a script to create collection, index documents, and perform search (see official docs)
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If using Docker, run docker stop and docker rm to remove the container, then delete the local data directory. If installed via binary, simply delete the typesense executable and configuration files.
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