ANSWER ENGINE

Fast, grounded answers.

Connect your knowledge and model, then bring grounded answers, hybrid retrieval, and semantic caching into your existing search, knowledge base, chat experience, or AI agent through API or MCP.
Hybrid Retrieval
Semantic Cache
Live Context
Answer Engine / Playground
Assembling context
Grounded Answer
Behind the Answer
Context Assembly
ALL IN ONE
KNOWLEDGE
+
HYBRID RETRIEVAL
+
GROUNDED ANSWERS
+
SEMANTIC CACHE
+
OBSERVABILITY
+
API
+
MCP
BUILT FOR PRODUCTION

Better economics at scale.

As usage grows, Harper reuses validated answers for semantically similar questions instead of sending every request back to the model. More answers are served from cache, reducing inference spend and improving response times as your workload scales.
Answer Engine / Operational Impact
Example Annual Workload
Where the Questions Went
0 Days
0.0% 0 Answered From Cache
100.0% 0 Sent To Model
0 cache misses
0 ineligible for cache
Questions Asked 0
Estimated Inference Savings $0.00
Slowest 5% of Answers (Tail Latency) 11.4s
Estimated Inference Spend $0.00
COMPLETE AI ANSWER ENGINE

A complete answer pipeline, ready to integrate.

Harper handles ingestion, indexing, retrieval, grounding, caching, model orchestration, and observability behind a simple serving layer—so your team can focus on the experience your users already know.
01 / RETRIEVAL

Hybrid Search

Combine HNSW vector retrieval with lexical search and fuse the results into one relevance-ranked context set.
02 / ANSWERS

Grounded Generation

Generate answers from retrieved context and return supporting source information for citations and traceability.
03 / EFFICIENCY

Semantic Caching

Reuse validated answers for semantically similar questions when serving rules allow it, reducing unnecessary inference.
04 / KNOWLEDGE

Connected Knowledge

Index documents, web content, Page Bank content, and Harper-hosted operational data through the same knowledge pipeline.
05 / MODELS

BYO Inference

Connect supported model providers while Harper keeps retrieval, state, application logic, credentials, and model-facing behavior together.
06 / OPERATIONS

Built-in Observability

Inspect answer activity, latency, cache behavior, usage, and low-confidence or unanswered queries from the admin experience.
FITS YOUR APPLICATION

Keep the experience.
Upgrade the answer layer.

Connect Harper to the search, support, knowledge, applications, workflows, and agents you already have. Each can send a request through API or MCP and receive a grounded answer or ranked result in return.
You own the customer experience. The Harper AI Answer Engine sits behind it as a shared answer layer—serving the interface each application needs without forcing you into a new frontend.
FAST SETUP

Better answers in an afternoon.

Configure the engine once, then let the applications and agents you already run call it whenever they need an answer.
1

Knowledge

Add the documents, websites, Page Bank content, or Harper data the engine should know.
2

Model

Configure the model provider and credentials used for embedding and grounded answer generation.
3

Access

Issue credentials for the serving surface your application or agent will use.
4

Integrate

Wire the ready-to-use API or MCP endpoint into your existing product experience. The retrieval stack is already there.
INTEGRATE YOUR WAY

One answer layer. Multiple ways to ask.

Choose the interface that fits your application. Get a grounded answer, retrieve ranked context, let Harper route the request, or expose the same capabilities to agents through MCP.
/answer
Request POST

          
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Bring better answers to your existing applications.

Connect your knowledge and preferred model. Harper handles the retrieval, grounding, caching, and answer pipeline behind API and MCP interfaces your team can integrate into the experience you already own.