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Estimate your website knowledge & vector embedding tokens.

Calculate total word counts, 768-dimensional vector embeddings, 350-token semantic chunks, and crawl duration before you sign up.

01 / ARCHETYPE PRESETSVector Physics Model
02 / KNOWLEDGE BASE METRICS

Domain Content & Document Volume

300 pages
800 words
30 doc pages
Vector Space SizingCrawl time: ~17s
Estimated Embedding Tokens
012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789,012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789tokens

(~1,054 semantic 350-token vector chunks)

Total Extracted Words
253,500 words
pgvector Storage Footprint
~3.09 MB (768-dim)
Recommended Tier
SiteMind Starter ($25/mo)
Crawl Duration
< 17 seconds
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Full 3-day access · Instant automated crawling

The SiteMind Vector Physics Standard

Grounded indexing architecture engineered for sub-2.0s streaming response latency.

01 / DENSE EMBEDDINGS

768-Dimensional Vectors

High-fidelity dense representations generated by Gemini embedding pipelines, capturing deep semantic intent across customer inquiries.

02 / CHUNKING DENSITY

350-Token Semantic Windows

HTML pages are parsed into 350-token windows with 50-token boundary overlaps, preserving full contextual integrity for technical documentation.

03 / CONCURRENCY

Sub-Second RRF Hybrid Search

Reciprocal Rank Fusion (RRF) merges dense vector search with sparse trigram keyword matching in PostgreSQL pgvector in under 45ms.

Frequently Asked Questions

Detailed answers on embeddings, chunking strategy, and crawling throughput.

Index your website knowledge in under 2 minutes.

Enter your website URL to calculate your exact tokens and preview live answers.

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No credit card required2-minute automated setupEmbed with one line