Folder-level document management
Create folders inside a store to classify and manage similar documents together.
DocStore connects enterprise documents to RAG-based search and AI answers. It provides a flow for exploring document-based knowledge and checking relevant context.
Contact usDOCSTORE SUMMARY

Upload enterprise documents used for knowledge search.
Analyze documents and split them into meaningful chunks.
Convert chunks into embeddings and index them for retrieval.
Users enter questions in natural language.
Retrieve relevant context and pass it to the answer flow.
CORE CAPABILITIES
Here is how you can work with the store.
Create folders inside a store to classify and manage similar documents together.
Define attribute information per document and use it as a filter condition when searching.
Choose and configure from a range of embedding models including OpenAI, VoyageAI and Upstage.
Connect store creation, retrieval, update, deletion and queries through APIs to exchange data with other systems.
Source and version information for retrieved documents is managed together, so you can trace and verify which documents an AI answer relied on.
Limit the range of searchable documents and the information exposed in answers according to user permissions.
Integrate with existing ECM, KMS and groupware systems to keep knowledge up to date in real time.
DocStore ADVANTAGE
During document parsing, information that can identify an individual — such as card numbers and phone numbers — is detected automatically.
Masking is applied not only to extracted data but also to the original PDF document.
Register and edit domain-level masking rules according to internal policy, and set whether they apply per chatbot.
CASE STUDY
Turn enterprise documents into searchable knowledge and apply it across a range of work situations.
Register internal policies, work manuals and policy documents in DocStore so employees can ask in natural language and find the rule they need right away.
Register terms, FAQs and past inquiries so chatbots or agents can immediately provide accurate, document-grounded answers.
Instead of hunting through long reports or contracts, one question surfaces the relevant pages and key content immediately.
When a policy or manual changes, reload and re-embed the latest document so the AI always answers against the current standard.
FAQ
DocStore is an enterprise knowledge store for RAG-based document search and AI-assisted answers.
CONTACT
Build enterprise documents into a knowledge base for RAG search.
Contact us