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Use the power of AI to make search feel human

Understands natural language and delivers relevant results with contextual precision.

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Fitting seamlessly in the current AI landscape

Integrated into the familiar set of tools.

Meilisearch connecting with OpenAI, Cohere, LangChain and Hugging Face

Search enters your AI application stack

Meilisearch comes with tailored SDKs for your favorite framework or language.

from langchain.vectorstores import Meilisearch
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.document_loaders import JSONLoader



# Load documents

loader = JSONLoader(

    file_path="./movies.json",

    jq_schema=".[] | {id: .id, title: .title, overview: .overview}",
     text_content=False,
)
documents = loader.load()



# Index documents
embeddings = OpenAIEmbeddings()
vector_store = Meilisearch.from_documents(documents=documents, embedding=embeddings)

# Search
query = "superhero fighting villains in a city corrupted by crime"
results = vector_store.similarity_search(

    query=query,

    k=3,
)

18k users worldwide are using Meilisearch to power their search experience.

Why our customers choose Meilisearch Cloud

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Agora customer spotlight

Scaling to billions: How Agora elevates e-commerce search with Meilisearch AI

Read Agora's success story →
  • Lightning-fast search-as-you-type results
  • Hybrid semantic & keyword search
  • Customizable schema and indexing flexibility
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HitPay customer spotlight

HitPay streamlines customers’ search capabilities

Read HitPay's success story →
  • Easy to integrate
  • Developer experience
  • Higher out-of-the-box relevancy
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Qogita customer spotlight

Qogita simplifies B2B trade with Meilisearch Cloud

Read Qogita's success story →
  • Cost-effectiveness
  • Developer experience
  • Agile product delivery
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