A
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T
S
1
0
OFFLINE INDEXING
EMBED · INDEX
RETRIEVE
ANSWER TO USER
DATA FEEDS
Documents
Databases
Web pages
Integrations
IDX
Knowledge sources
Documents & data
IDX
Chunking & embed
Split → vectors
01
User query
Natural-language request
02
Embedding model
Query → vector
03
Vector database
Top-k similarity search
04
Re-ranking
Relevance scoring
05
Context assembly
Prompt + retrieved chunks
06
LLM generation
Grounded synthesis
07
Guardrails & citation
Grounding & sources
08
Response
Cited answer
OUTPUT // GENERATED USE CASES
01 / 08
GENERATING
Uncover affluent customers
SPECTRUM AI · RAG
Request
Indexing
Retrieval
Generation
PART 1 · INDEXING
Retrieval-augmented generation