What is Meilisearch Chat?

Meilisearch Chat is a single /chat endpoint that handles the full RAG workflow, synthesizing responses from your indexed data without requiring separate AI orchestration.

Does Meilisearch support vector search?

Yes, Meilisearch supports hybrid search, allowing you to perform both vector-based semantic search and traditional keyword search simultaneously.

Is it safe to kill a Meilisearch process?

Yes, Meilisearch is designed to be resilient. Killing the process is safe even during indexing; it will resume from the beginning of the task upon restart.

What are the document limits?

Meilisearch can scale to approximately 4.3 billion documents per index and support index sizes up to 80 TiB (with 2 TiB recommended for peak performance).

Can I use it for multi-tenant applications?

Yes, Meilisearch supports multitenancy through tenant tokens, which allow you to restrict search results based on specific user permissions.

What formats does Meilisearch accept?

Meilisearch officially accepts and processes data in JSON, CSV, and NDJSON formats.

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Freemium

Meilisearch

A lightning-fast, AI-powered search engine that enables hybrid semantic search and conversational RAG interfaces with one API call for seamless data retrieval.

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Rating

Reviews

Upvotes

4 months ago

Listed

Search Engine

Hybrid Search

Semantic Search

RAG

Conversational AI

Vector Database

Developer Tools

Full-Text Search

Open Source

Tool information

Provider

Meilisearch

Platforms

Web

Linux

Docker

macOS

Windows

Languages

English

Japanese

Chinese

Hebrew

Arabic

Multilingual

API Available

Yes

Added to directory

4 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Freemium

About Meilisearch

What the tool does and who it's for

Meilisearch is a lightning-fast, open-source search engine designed for developers to build seamless search experiences. It provides an API-first approach that combines traditional keyword search with advanced AI-powered semantic and hybrid retrieval. Recent 2026 updates have introduced 'Meilisearch Chat,' a built-in conversational interface that handles the entire RAG (Retrieval-Augmented Generation) pipeline with a single API call, allowing users to transform indexed data into grounded AI conversations without complex LLM orchestration.

Key capabilities

Meilisearch Chat: Out-of-the-box RAG workflow for conversational AI without external vector DBs.

Hybrid Search: Combines keyword-matching with semantic vector search for ultra-relevant results.

Search-as-you-type: Ultra-low latency responses typically in less than 50 milliseconds.

Automated Embeddings: Built-in support for providers like OpenAI, Gemini, Cohere, and Mistral.

Grounded AI: Guardrails and system prompts automatically generated from your actual document data.

Multi-Tenancy: Securely control document access per user via tenant tokens.

Scale & Performance: Support for sharding and replication to handle billions of documents.

Developer Experience: Official SDKs for JavaScript, Python, PHP, Ruby, Go, .NET, and more.

Pricing

Freemium — plans below

Cloud Free Trial

No credit card required
Limited period trial
Full access to Cloud UI
Meilisearch Chat testing

Standard (Cloud)

Open Source (Self-Hosted)

MIT Licensed
Community edition
Full control over infrastructure
Custom deployment

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FAQ

Meilisearch FAQs

Common questions about Meilisearch