State of the art RAG in one day

From data extraction to search, Memoire handle all the complexity so your team can innovate faster and focus on what really matters: your customer's experience.

Building RAG pipelines is complex and slow. We made it easy and fast.

RAG Pipelines are an already solved problem, yet a good, accurate and fast pipeline still take several months to implement.

Time consuming

Reinventing the wheel takes time.

Time you could spend on more urgent matters, and engineers' time is expensive precious.

Prone to failures

You know, that pesky bug uncaught in QA?

You guessed it, you need maintenance as well

Scaling is expensive

Your business is getting traction, congrats!

Now who's going to extinguish the database on fire?

Deploy in one day.

Our plug and play solution is ready to go. Stress free.

Innovate faster

Great developer experience

= Less time to deploy

= Faster to market

= Faster to innovate

Best in class algorithms

Get state of the art document retrieval such as hybrid search, auto chunking, and more (our team stay up to date with the best in the industry for you).

Ready to scale

10k, 100k, or millions of documents with no added work on your end.

How Memoire works

Build your document retrieval in four steps (yes it’s that easy)

  • Step 1

    Send your documents

    Send multipart data or downloadable urls, in bulk or one by one.

  • Step 2

    Automatic processing

    Memoire supports the most popular formats, with more added with every update.

  • Step 3

    Indexing

    Your documents are ready to be fetched. Memoire also save the original document, so you won't need separate storage

  • Step 4

    Search

    That's it!

Transparent

Transparency is important to us, we are building in the open: Star us on Github, or Read our handbook

We are not open source yet! But plan to move to an open-core model once we are default-alive.

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