Beacon AI
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Knowledge Base

GAv2.8.0

Upload PDFs (menus, FAQs, policies) so Beacon answers customers from your real information, not guesswork.

updated 5 days ago
Live previewinteractive
Indexing pipeline
Haystack · Qdrant · Neo4j
01
Upload PDF100%
S3 · max 50 MB
02
Gemini semantic chunking100%
200–400 words · or per-FAQ
03
Embed · dense + sparse100%
Cohere multilingual-v3 + SPLADE++
04
Write to Qdrant100%
filter key: knowledge_base_id
Query · “what's your refund window?”
hybrid → rerank → graph → rerank
source / chunksparsedensererank
refund-policy-v4.pdf
chk_8f2e
0.81
0.93
0.97
shipping-faq.pdf
chk_1a0c
0.62
0.79
0.84
returns-process.pdf
chk_4de2
0.45
0.71
0.72
A simple view of what Beacon has learned and what it cites in answers.
§01 · Mechanics

How it works

  1. 01Upload your docs

    Menus, pricing, policies, and any business handbook.

  2. 02Beacon learns them

    Beacon indexes the document so it can answer quickly and consistently.

  3. 03Answers stay on-brand

    Beacon replies using your wording and your rules, with fewer hallucinations.

§02 · In the wild

Where teams actually use it

Restaurantscase 01
Menu + allergy answers

Answer ingredients, add-ons, pricing, and opening hours correctly.

Retailcase 02
Returns + warranty policies

Consistent answers even during busy hours and holidays.

Hotelscase 03
Check-in, parking, amenities

Fewer repetitive questions for staff.