>_ SERENEDB DOCUMENTATION

Search. Analyze. Build.

Full-text search, vector search and analytics.
One engine. Familiar SQL.

Get started

• Quick start→
• Installation→
• Import data→
• Clients & drivers→
• SQL basics→

Guides

• Search cookbook→
• Hybrid search→
• Faceted search→
• Search with joins→
• Tune performance→

SQL reference

• SELECT queries→
• Data types→
• Functions→
• Expressions→
• Indexes→

Deploy & operate

• Docker→
• Configuration→
• Command line→
• Security→
• Logging→

Explore by use case

Different ways to search. The same database.

Full-text search

Find the right words with text analysis, BM25 ranking and fuzzy matching.

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Vector & hybrid search

Combine semantic similarity with full-text filters in a single query.

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Search & analytics

Join, filter and aggregate your search results with familiar SQL.

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Search your data lake

Index Parquet, CSV and JSON where they live. No extra data copies.

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Tools & integrations

Connect the tools you use. Build the way you work.

Clients & drivers

Use PostgreSQL clients and your favorite language.

Find your client →

LangChain

Bring vector and hybrid retrieval to your AI applications.

Build with LangChain →

Docs Search

Add search, AI answers and MCP to your own docs.

Explore Docs Search →

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Have a query in mind?

Try SereneDB in your browser. No installation needed.

Open playground ↗

Join the community

Ask a question, share what you’re building, or help shape what’s next.

Chat on Slack ↗ Contribute on GitHub ↗