Trusted by leading companies
How RAG works
Retrieval-Augmented Generation combines search with AI to deliver accurate, grounded answers.
User asks a question
Natural language input from your chat interface.
Meilisearch retrieves context
Hybrid search finds the most relevant documents instantly.
LLM generates answer
AI synthesizes a response grounded in your actual content.
"Based on your documentation, the recommended approach is to use the /search endpoint with the following parameters…"
Built for production AI
Everything you need to deploy conversational search that actually works.
Grounded in your data
Every answer is built from your own content, so users get accurate responses instead of guesses.
Drop into your existing stack
Works with the OpenAI SDK you already use. Point it at Meilisearch and ship in minutes.
Your choice of AI model
Use OpenAI, Azure OpenAI, Mistral, or vLLM. Swap providers later without rewriting code.
Answers appear instantly
Responses stream word by word as they are generated. No waiting on a spinner.
Trustworthy by design
Every answer cites the documents it came from, so users can verify what they read.
Better context, better answers
Combine keyword and semantic search to pull the right material into every prompt.
Works with all major LLM providers
Native support for OpenAI, Azure OpenAI, Mistral, and vLLM.
58 models from 13 providers
OpenAI
6 models
Anthropic
3 models
5 models
Mistral AI
7 models
Cohere
2 models
DeepSeek
3 models
AWS Bedrock
4 models
Hugging Face
6 models
Ollama
8 models
Together AI
4 models
Fireworks AI
4 models
Cloudflare AI
4 models
Moonshot AI
2 models
Custom
Any provider
Meilisearch is compatible with any model offering a REST API and tool calling capabilities.
Perfect for
Anywhere users need answers from your content in natural language.
Customer support
Answer customer questions instantly from your knowledge base. Reduce ticket volume and response times.
Documentation assistant
Help developers find answers without reading through pages. Natural language queries work.
Internal knowledge
Give employees instant access to company policies, procedures, and tribal knowledge.
Product discovery
"I need a laptop for video editing under $1500" → personalized product recommendations.
Research assistant
Search through documents, papers, and reports with natural language questions.
Educational content
Help students find answers across course materials, textbooks, and lecture notes.