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AutoRAG • AI Search for business knowledge

Upload your documents once. Let WorkCloud auto-index them and turn them into AI search for your team.

You only need to upload the files. WorkCloud takes care of indexing, semantic retrieval, and chunk scoring so AI can answer faster and with stronger context.

Upload and go

No need to build your own ingest pipeline, chunking logic, or indexing flow. WorkCloud handles it automatically after upload.

Fast response time

Built for real document Q&A workflows so users can get answers quickly instead of digging through files manually.

Better retrieval quality

Chunk scoring and relevance signals help the AI prioritize stronger context, reducing vague or off-target answers.

Ready to plug into products

Use the playground to validate how AI search could fit into internal docs, support copilots, knowledge bases, or your SaaS product.

Try it in PlaygroundSee semantic search demo
autorag.workcloud.vn
Auto indexing pipeline

Documents are ingested, chunked, enriched with metadata, and prepared for semantic search without technical setup from the user.

Semantic search + AI answer
Semantic search

When a user asks a question, the system retrieves the most relevant chunks, scores the signals, and sends stronger context into the AI answer flow.

Example: How many days do customers have to request a refund?
The AI can answer directly from the most relevant document chunks instead of relying on simple keyword matching.
Workflow
Upload → Index → Search
Search mode
Semantic + fallback
Context quality
Chunk scoring
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