How SimplyRAG works
Turn your data into searchable, chat-ready knowledge in five steps. No infrastructure to manage—connect, create, index, and ask.
Add your data sources
Organize into knowledge bases
Index your content
Chat or API
Accurate, traceable
Step-by-step breakdown
Connect your data
Create file buckets and upload files (PDF, text), connect SQL databases, crawl websites, or sync Firebase/Firestore. Each source feeds into a collection—your knowledge base.
Create collections
Create a collection for each use case—e.g. product docs, internal wiki, support FAQs. Add your embedding provider and vector database keys (BYOK). SimplyRAG handles the rest.
Automatic indexing
Your content is indexed automatically. No infrastructure to manage. For SQL collections, the schema is analyzed for natural-language queries.
Ask questions
Use the built-in Chat UI or call REST APIs. Ask in plain language—SimplyRAG retrieves relevant chunks, sends them to the LLM, and returns answers with citations.
Get answers with citations
Answers include source references so you can verify. Embed the chat widget in your app, or use the API to power search, support bots, or internal tools.
Common questions
How does SimplyRAG work?▼
You connect your data, create collections (knowledge bases), and SimplyRAG indexes automatically. Then you ask questions in the Chat UI or via API; answers include source citations. No infrastructure to manage.
How do I connect my data to SimplyRAG?▼
Create file buckets or add a SQL, website, or Firebase source in the dashboard. Add the source to a collection and configure your embedding and vector DB keys (BYOK). SimplyRAG indexes and makes it queryable in plain language.
Ready to try it?
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