Typesense

What is Typesense?

Typesense is a C++ search engine that keeps its index in memory for low-latency, typo-tolerant search with filters, facets, geo search and JOINs. It also stores vectors for vector search and can generate embeddings itself with built-in models (S-BERT, E5 and others) or through OpenAI and other remote services, so it works for semantic and hybrid search and as the retrieval layer of a RAG app. It ships as a single binary, DEB/RPM packages and an official Docker image, and can run as a cluster.

Where it fits in a 10–200 person business

• Add instant, typo-tolerant search to a website, store catalogue or help center
• Combine keyword and semantic search over internal documents or products
• Replace a hosted search service (Algolia-style) with a self-hosted engine

These use cases are our editorial suggestions, not claims made by the project.

Can a business use Typesense? (license)

This is a plain-English summary of the license text, not legal advice. Third-party models you run with it have their own licenses.

Data & compliance: does Typesense phone home?

Checked against the project's own docs and repository on Nov 2, 2026. "Not documented" means we could not find the answer in official sources; it does not mean the feature is missing or that no data is sent. Third-party services you connect (model APIs, vector databases, search engines) have their own data policies. Compare all apps.

What hardware does Typesense need?

"Typesense requires at least 2 vCPUs." RAM depends entirely on your data: the whole index is held in memory, typically 2–3x the size of the fields you search on; vectors take 7 bytes per dimension per record, and built-in embedding models need another 2–6 GB. No fixed RAM or disk minimum is published.

Source: typesense.org/docs/guide/system-requirements.html

How much does it cost to host Typesense per month?

How to deploy Typesense

Method: Docker

export TYPESENSE_API_KEY=xyz
mkdir "$(pwd)"/typesense-data
docker run -p 8108:8108 \
            -v"$(pwd)"/typesense-data:/data typesense/typesense:30.2 \
            --data-dir /data \
            --api-key=$TYPESENSE_API_KEY \
            --enable-cors
# replace xyz with a long random admin key before exposing the server

From the official instructions: typesense.org/docs/guide/install-typesense.html. Always check the source for the current version before you run it.

Known gotchas when self-hosting Typesense

• The Docker, Compose, Homebrew and binary examples all use the admin API key xyz. Set your own random key, and give apps scoped search-only keys rather than the admin key. source
• The entire search index lives in RAM (about 2–3x the size of the searched fields), so size the server to your data; unindexed display-only fields stay on disk. source
• Semantic or hybrid search with a built-in model needs 2–6 GB of extra RAM for the model; using a remote embedding service such as OpenAI avoids that but sends your text to that service. source
• v26.0 and later DEB packages and Linux binaries need Ubuntu 20 or later (or a recent Linux kernel). source

Alternatives in Data labeling & vector databases

• LlamaFactory Fine-tune 100+ open LLMs and VLMs from a web UI or CLI, without writing training code.
• Meilisearch Fast search engine with full-text, semantic and hybrid (AI) search, shipped as a single binary.
• Milvus Scalable open-source vector database for semantic search and RAG at large data volumes.
• Qdrant Fast vector database for semantic search and RAG back-ends.
• Chroma Open-source embedding database for vector, full-text and metadata search in RAG apps.
• Label Studio Data labeling tool for text, images, audio and video, used to build and evaluate AI models.
• pgvector Open-source PostgreSQL extension for vector similarity search, next to your relational data.
• Weaviate Open-source vector database with hybrid search, RAG and multi-tenancy built in.

Sources

• GitHub repository: github.com/typesense/typesense
• Official documentation, Deploy instructions, Gotcha 1, Gotcha 4: typesense.org/docs/guide/install-typesense.html
• License text: github.com/typesense/typesense/blob/v31/LICENSE.txt
• Hardware requirements, Gotcha 2, Gotcha 3: typesense.org/docs/guide/system-requirements.html
• Hetzner Cloud pricing (cost estimate): www.hetzner.com/cloud/regular-performance
• GitHub stars, commits and releases: GitHub REST API, fetched Nov 2, 2026