Documents in, answers out.
We handle everything in between.
RagLayer ingests, indexes, and retrieves information from your documents to generate grounded answers with references to the exact documents and passages used. No pipelines to build. No vector databases to manage.
$1 in free credits · No credit card required · Set up in minutes
Everything you need for RAG in production
Stop stitching together parsers, embeddings, vector search, and prompts. RagLayer is the complete RAG layer — from raw documents to cited answers.
Document ingestion
Upload your documents. RagLayer automatically extracts, chunks, and indexes your content — even scanned or complex documents, using vision-based parsing when plain text is not enough.
Answers with citations
Ask a question and get a grounded answer — with the exact passages and page numbers it is based on. No hallucinations.
Semantic + structured search
Vector search understands meaning, not just keywords. Combine it with precise filters to find exactly the right documents.
Typed metadata
Define custom fields — text, number, date, boolean, or enum — and filter your knowledge base with structured precision.
Multi-tenant and secure
Isolate data by organization and tenant, with role-based access and per-organization API keys. Built for products that serve multiple customers.
One simple API
A single clean REST API covers the entire workflow — upload documents, search, and get answers. Easy to integrate into any application.
View API docsHow it works
From documents to cited answers in three steps.
Upload your documents
Send files through the API or dashboard. RagLayer parses, chunks, and embeds your content automatically.
Ask in natural language
Send a question to the API — across your entire knowledge base or scoped to a single tenant.
Get answers with sources
Receive grounded answers with cited passages and page numbers. Or retrieve the raw chunks and send them to your own model.
Turn your documents into answers today
Create your free account and turn your documents into answers in minutes.
Building a RAG application? We'll help you integrate with RagLayer.
Tell us what you want to build with your documents, and our team will help you integrate with RagLayer and get the most out of the platform.