Trusted by leading industry innovators
Why teams are building RAG with Meilisearch
Transform your data into conversational experiences without the RAG engineering complexity. One API call handles query optimization, retrieval, and response generation—all powered by Meilisearch's superior hybrid search.
RAG simplified to one endpoint
No more multi-step retrieval pipelines. Meilisearch's /chat endpoint handles the entire RAG workflow—from query understanding to answer generation—in a single call, eliminating the need for separate vector DBs, rerankers, and complex orchestration layers.
Direct answers, not just links
Get human-like responses directly from your content. The /chat endpoint leverages Meilisearch's hybrid search to deliver truly relevant answers—not guesses—with context from your documents, responding to users in natural conversation rather than just returning document links.
Production-ready in minutes, not months
Implement complete conversational AI with an OpenAI-compatible API. Get fine-grained control over answer quality, conversation context, and content grounding—while scaling confidently across millions of documents without the usual RAG infrastructure complexity.
⚡ 90% less code
Implement conversational AI with one API call instead of complex pipelines
🔄 Fewer LLM calls
Optimized workflow reduces API costs with fewer model invocations
🛡️ Ground truth anchoring
Responses are factually grounded in your content, minimizing hallucinations
Natural Language Understanding
Automatically transforms natural questions into optimal search parameters, maintaining conversation context for follow-up questions
Hybrid Retrieval Engine
Combines keyword and semantic search in one query for superior relevance without a separate reranking step
Response Generation
Returns human-like answers based on your content, maintaining factual accuracy without hallucinations
Simplified Integration
OpenAI-compatible interface allows developers to integrate in minutes using familiar patterns and existing code
Context Management
Maintains conversation history for contextual responses, enabling natural follow-up questions and topic refinement
Complete RAG Pipeline
Handles the entire RAG workflow in one endpoint—from query understanding to document retrieval to answer generation
Why our customers choose Meilisearch
Bookshop.org increased search-based purchases by 43%
Read Bookshop's success story →- A streamlined process that keeps the decision-makers involved
- Quick iterative product cycle
- Hosting and infrastructure maintenance in safe hands
CarbonGraph consolidated its search by migrating to Meilisearch from Pinecone
- Automated embeddings
- Search consolidation
- Straightforward setup
HitPay streamlines customers’ search capabilities
Read HitPay's success story →- Easy to integrate
- Developer experience
- Higher out-of-the-box relevancy
Qogita simplifies B2B trade with Meilisearch Cloud
Read Qogita's success story →- Cost-effectiveness
- Developer experience
- Agile product delivery
