Embeddings are how Desearch 2.0 turns prepared web text into searchable meaning.
GPU capacity will matter for that work. We'll publish tested hardware requirements before anyone should buy gear.
Soon.
#sn22#bittensor
More context should not mean more custom glue.
Desearch MCP now exposes the public JS SDK as tools for web and AI search, social data, page extraction, and trends.
One tool layer for agent retrieval:
github.com/Desearch-ai/mcp-d…#MCP#AIAgents#Desearch
2.0 is coming. You can still build with Desearch today.
Earn up to $155 in API credits. Real workflow video, public support, referrals, feedback.
#searchAPI
2.0 is coming. You can still build with Desearch today.
Earn up to $155 in API credits. Real workflow video, public support, referrals, feedback.
Earn:
Guide:
#searchAPI
2.0 is coming. You can still build with Desearch today.
Earn up to $155 in API credits. Real workflow video, public support, referrals, feedback. Details on the page.
#searchAPI
2.0 is coming. You can still build with Desearch today.
Earn up to $155 in API credits. Real workflow video, public support, referrals, feedback.
Earn page:
Full guide:
#searchAPI
One-off search answers a question. Monitoring shows what changed.
Replay the same Desearch query, store each result, diff the links or claims, then alert in your own stack.
Blueprint: desearch.ai/blog/ai-search-m…#AISearch#Desearch#AIAgents
Teams want AI search monitoring. Desearch does not ship a separate Monitoring SKU.
What works today: schedule search API calls, store results yourself, alert in your stack.
Keep prompts versioned. Keep tool lists stable so day-over-day diffs mean something. Budget cadence on purpose. Recurring jobs are where surprise spend appears.
A search benchmark should show its work.
Same questions. Pages and returned text checked separately. Model judgments calibrated against human labels.
Our eval methodology is open: github.com/Desearch-ai/desea…#AISearch#Desearch#SN22
With Desearch 2.0, incentives should reward work that builds the index.
Checked contributions that stick and make search better. Not one-off answers that vanish.
That shift comes with the next version.
#sn22#bittensor
Desearch 2.0 is coming.
Next version of search on SN22: a web index kept fresh through open competition on Bittensor. Work stacks. Results get more reusable.
1.0 showed useful search was possible. 2.0 is how we push past slow answers and outside limits.
Dynamic pages turn crawling into a policy decision.
Desearch Web Crawl can fetch normally or render JavaScript with a bounded wait when the page needs it.
Start static. Escalate only when the content is incomplete.
#AIAgents#AISearch#Desearch
Cost attribution should not depend on response format.
Desearch exposes billing headers for JSON, arrays, text, and streams. Capture them before parsing the payload.
If a tool can spend, its orchestrator should record it.
#AIAgents#AIInfra#Desearch
Static extraction first. Browser rendering only when needed.
Desearch Crawl returns page text, with optional headless rendering for SPAs or JavaScript-populated pages.
Match the fallback to the failure mode. Do not make it the default.
#AIAgents#AIInfra#Desearch