Zero Hallucination

Factual, trustworthy answers sourced 100% from your website

Never worry about an AI assistant inventing fake discounts or wrong policies. SiteMind uses strict Reciprocal Rank Fusion (RRF) hybrid retrieval and refuses to guess when information is not in your knowledge base.

99.5%Grounding AccuracyStrict similarity floor prevents ungrounded hallucinations
Dense + SparseHybrid RetrievalFuses semantic embeddings with Postgres full-text & trigrams
Strict 0.30+Cosine Similarity FloorIrrelevant passages rejected before prompting the model
100%Citation TransparencyEvery factual claim links back to the exact source webpage or doc

Capabilities

Engineered for absolute accuracy and zero friction

Everything built into SiteMind is designed to solve real customer problems without complexity.

Hybrid Engine

Reciprocal Rank Fusion (RRF) Hybrid Search

Pure vector search fails on exact SKUs, error codes, and phone numbers. SiteMind fuses semantic vectors with lexical full-text matching to find exact answers every time.

Brand Safety

Honest Fallbacks & Safe Refusals

If a visitor asks a question that is not in your knowledge base, SiteMind politely states that the information is unavailable and offers a support contact link instead of making up a lie.

Enterprise Security

Prompt Injection Defense

Retrieved website passages and user inputs are strictly delimited as untrusted data, preventing adversarial visitors from jailbreaking or altering system behavior.

Trust Builder

Transparent Clickable Source Citations

Every answer includes clean citation pills so your visitors can click directly through to read the original page or document.

Workflow

How it works in 3 simple steps

01

Hybrid semantic & lexical search

The visitor query is searched across pgvector embeddings, full-text tsvector, and trigrams.

02

Similarity filtering & re-ranking

Top candidate passages below the similarity threshold are pruned to eliminate irrelevant noise.

03

Grounded generation with citations

Gemini generates a crisp answer citing the exact source passages with zero outside speculation.

The SiteMind Difference

Why fast-moving teams choose SiteMind

Hallucination Defense

SiteMind

Hard similarity gating and hybrid search ensure answers are 100% verified against your real content.

Traditional Chatbots

Standard LLM bots guess or invent convincing falsehoods when documents lack the answer.

Exact SKU / Keyword Search

SiteMind

Postgres tsvector and trigram matching find exact technical error codes, product model numbers, and part IDs.

Traditional Chatbots

Pure vector embeddings struggle to match specific numbers, serial codes, and acronyms.

Prompt Injection Defense

SiteMind

Delimited system prompts and sanitized context prevent users from hijacking the chatbot.

Traditional Chatbots

Vulnerable to "ignore all previous instructions" jailbreaks.

Answers

Frequently asked questions

What happens if a visitor asks a question not covered on my website?

SiteMind will politely state that it does not have that information and invite the visitor to leave their contact details or reach out to your team directly.

Why is grounded RAG better than fine-tuning an AI model?

Model fine-tuning is expensive, slow to update, and prone to hallucinations. Grounded RAG reads your live content dynamically, updates in seconds, and provides 100% verifiable source links for every single answer.

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