Some teams want a managed assistant. Others want to own the pipeline outright — the ingestion process, the vector index, the retrieval logic — so it can be extended, self-hosted, and integrated deep into their own product. We build that pipeline end to end and hand you something your team can actually run.
When retrieval needs to be embedded deep in your product, owning the pipeline matters.
Tune chunking, embeddings, and ranking to your specific data instead of a one-size-fits-all managed config.
Self-hosted, in your cloud, or wherever your compliance and infrastructure requirements demand.
Embed retrieval directly into your application's core logic, not as a bolted-on chat widget.
One build you own outright, running on your own infrastructure costs.
Well-documented, testable pipeline your engineers can modify without depending on us for every change.
We validate retrieval quality against your actual questions before calling it done, not just a demo dataset.
Every stage of the pipeline, engineered and documented for your team to own.
Automated ingestion from your documents, databases, and internal systems into a clean, chunked format.
Embedding model selection and vector store configuration tuned to your data's structure and scale.
Custom retrieval strategy — hybrid search, re-ranking, filtering — built for your query patterns.
A test set of real queries used to validate retrieval accuracy before launch and after every change.
API or SDK your team uses to call the pipeline from your existing application.
Clear documentation so your engineers can maintain and extend the pipeline independently.
Those toolkits are exactly what we use under the hood — the value isn't avoiding them, it's the engineering time to tune chunking, retrieval, and ranking for your specific data, plus a tested query suite that proves it actually works before you ship it. DIY often means months of trial and error to get retrieval quality acceptable.
You need someone who can maintain a standard application — we document the pipeline clearly and avoid exotic dependencies, but this is a self-hosted asset, not a zero-maintenance service.
RAG-as-a-service is a managed product we host and run for you. This is a custom pipeline you own outright, deployed on your infrastructure, built for teams that need deep control or have compliance reasons to self-host.
We build a test set from your real, historical queries and measure retrieval accuracy against it, tuning chunking and ranking until results meet an agreed bar.
Tell us what data it needs to retrieve from and how it plugs into your product — we'll scope a pipeline your team can own.