Crawl, extract, and embed
Move from site capture to structured knowledge outputs with a pipeline designed to support downstream AI enrichment, indexing, and retrieval workflows.
Web Knowledge Operations
Turn websites into structured AI-ready knowledge.
GenIndex is a productized web knowledge pipeline for crawling, structuring, packaging, and operationalizing website content so teams can move from raw pages to usable knowledge assets with more control.
Crawl, Extract, Deliver
Built for repeatable operations
Product Overview
A web crawler re-framed as an AI knowledge pipeline.
GenIndex is not positioned as a generic crawl utility. It is designed as an operational layer for teams that need repeatable website ingestion, structured outputs, and clearer control over the content entering downstream AI workflows.
What GenIndex is built to do
GenIndex helps teams move from site discovery to structured knowledge delivery through a product flow that combines crawl definition, extraction settings, run visibility, output management, and repeatable operational controls.
Crawl orchestration
Define bounded or broader crawl coverage with controls around scope, rate, and execution behavior.
Output structuring
Deliver website content into organized files and support artifacts that are easier to review and reuse.
Operational visibility
Track jobs, run state, logs, and output destinations without treating crawls as black-box batch runs.
Pipeline readiness
Support the next layer of AI enrichment, indexing, and retrieval with cleaner knowledge intake.
Capabilities
Core capabilities for knowledge acquisition and crawl operations.
The page now follows the AskHR content model: clear product positioning, a proof-driven side rail, and capability-led sections that speak directly to how the product is used.
Scheduling
Plan recurring website intake so content can be reprocessed on a defined cadence instead of relying on one-off manual runs.
Live logs
Follow run activity in real time with operational events that make progress, status changes, and output behavior visible as the crawl moves.
Operational Features
Control, monitor, and deliver with more confidence.
Beyond core crawling, GenIndex exposes the control surfaces and operational signals teams need for real production use.
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Live monitoring
Keep crawl operations visible with recent job activity, run-state tracking, processed page counts, and output-path awareness during execution.
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Alerting
Surface job failures, error spikes, and run exceptions quickly so teams can respond before crawl issues turn into downstream knowledge gaps.
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Execution controls
Apply operational guardrails through rate limits, block listings, concurrency settings, and bot-agent configuration for cleaner crawl behavior.
Walkthrough
A closer look at the product flow.
The walkthrough highlights how the interface supports new-job setup, persisted crawl jobs, scheduling direction, and live operational logs in one product surface.
Admin walkthrough
A real view of the crawler admin experience, focused on how the product is configured and observed in practice.
Jobs and runs
Illustrates the persisted job model and the operational framing behind repeated crawl execution.
Output delivery
Shows the output-oriented side of the platform: support artifacts, run folders, and packaged delivery.
Bring GenIndex into your operational knowledge workflow.
Talk to VeloAstra about deploying a repeatable web-to-knowledge pipeline for crawl operations, structured content intake, and AI-ready delivery workflows.