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Frequently Asked Questions (FAQs)
Ground AI live chat responses with verified Q&A pairs. Matches customer queries with 99.8% precision.
28
Active FAQ Items
Verified
99.8%
AI Match Accuracy
Cosine > 0.88
84.2%
Deflection Rate
+12.4% MoM
1,420
Vector Embeddings
text-embed-3
Q1
AI & Security
99.8% Match Rate
How does Aivanta guarantee that customer data is never used to train external LLMs?
All API requests pass through zero-data-retention enterprise endpoints with OpenAI and Anthropic. Your proprietary prompts, conversation logs, and vector database embeddings are isolated in single-tenant VPC boundaries and are strictly prohibited from being utilized for model training under signed BAAs.
Grounding Vector:
chunk_sec_9941_retention • Cosine: 0.942
Strictly Enforced
Triggered 1,840 times this month
98% Helpful
Q2
WhatsApp API
99.4% Match Rate
How does the WhatsApp Cloud API integration handle Meta rate limits and 24h customer care windows?
Q3
Live Handover
99.9% Match
Can human operators intervene and take over active AI agent chats in real-time?
Q4
Billing & Tokens
98.7% Match
What happens if our organization exceeds the monthly token allowance?
Q5
API & Webhooks
99.6% Match
How are outgoing webhook payloads authenticated and cryptographically verified?
Q6
Custom LLMs
99.1% Match
Does Aivanta support custom LLMs deployed on private cloud infrastructure (vLLM or Ollama)?
Semantic Match Simulator
Test live vector retrieval & cosine score
Quick Query Presets
Cosine Similarity: 0.984
11.4 ms
Matched: "How does Aivanta guarantee zero data retention?"
Grounding Vector: chunk_sec_9941_retentionPinecone Vector Cluster
Index Name:
aivanta-faq-v3
Vector Dimensions:
1536 (Cosine)
Indexed Records:
1,420 chunks
Last Full Cluster Sync:
12 minutes ago
Automated Sync Sources
Automatically pulls and converts articles into vector embeddings.
Notion Support DB
Live Sync
Zendesk Help Articles
Hourly
GitHub Docs Repo
Webhook