See RapidCore AI in Action
Watch how our RAG pipeline turns your enterprise data into accurate, cited answers
Ingest
Chunk
Embed
Search
Re-rank
Generate
1
User Query2
Searching Knowledge Base3
Sources Found4
AI ResponseQ
Docs Searched
0
Latency
0ms
Sources Found
0
Confidence
0%
Docs Searched
0
Latency
0ms
Sources Found
0
Confidence
0%
Generic RAG vs RapidCore AI
Generic RAG
Single-layer vector search
~3.2s retrievalSequential
RapidCore AI
Vector
Keyword
Graph
Hybrid
~0.12s retrievalParallel hybrid
- Single-layer vector search misses contextual connections
- Flat chunking loses document structure and metadata
- No citation tracking — can't verify where answers came from
- One-size-fits-all retrieval regardless of query type
- Multi-layer hybrid search chains vector, graph, and keyword results
- Metadata-aware embeddings preserve document structure and context
- Full citation tracking with source links and page references
- Adaptive retrieval picks the best strategy per query automatically
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