Not a copy-paste answer library. A knowledge graph that reasons.
First-wave tools paste back the closest text chunk and hope. RapidRFP builds a knowledge graph of how your company actually wins — then retrieves across vector, keyword, graph and neural reranking to ground every claim in your own evidence, with a citation on every line.
Inside Knowledge Engine
Built as part of one connected system — every capability hands off cleanly to the next.
A graph of how your company actually wins
We model the entities and relationships behind your bids — people, projects, past performance, contracts, certifications, products and win themes — so answers reflect how your facts connect, not just which paragraph looked similar.
- Entities & relationships, not loose text chunks
- People ↔ projects ↔ past performance ↔ certifications
- Connects evidence the same way an evaluator does
- Improves as you bid — no library babysitting
Knowledge graph
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Four retrieval strategies, fused — not keyword guessing
Dense vector search finds meaning, BM25 catches exact terms and part numbers, graph traversal pulls in connected context, and a neural reranker orders what matters. The result is recall and precision a single-method first-wave AI wrapper cannot reach.
- Dense vector embeddings for semantic match
- BM25 keyword search for exact terms & acronyms
- Graph traversal for multi-hop context
- Neural reranking for precision at the top
Hybrid retrieval
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Every sentence traceable to a source
Regulated buyers demand defensible answers. RapidRFP attaches a citation to each generated claim and shows the exact passage it came from — so reviewers and SMEs can verify, not babysit.
- Inline citations on generated text
- Jump from any claim to its source passage
- Confidence and coverage signals per answer
- A clean audit trail for color teams
Auditable by design
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Grounded in your evidence — never invented
If the answer is not supported by your knowledge, the engine says so and flags the gap instead of hallucinating. Your data stays yours: encrypted, isolated, and never used to train a shared model.
- Answers only from your grounded knowledge
- Gaps surfaced, not papered over
- Per-tenant isolation & encryption
- No training on your proprietary content
Grounded
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Frequently asked questions
Common questions about knowledge engine.
Most tools do single-shot semantic search over text chunks and paste back the nearest prior answer. RapidRFP fuses four retrieval methods over a knowledge graph and reranks the results, enabling multi-hop reasoning (e.g., “which cleared staff worked on a project like this for this agency”) that flat chunk-retrieval simply cannot answer.
See Knowledge Engine on your next RFP
Book a 30-minute demo and watch RapidRFP work a real solicitation in your space.
Self-checking loops · grounded & cited · never trains on your data