Semantic recall
Embeddings retrieve conceptually relevant passages, not just exact matches.
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RAG Site Search & Chat
Answers your users can trust
Semantic site search and on-site chat powered by retrieval-augmented generation. Ingest docs and KBs, retrieve securely, show citations, and control cost.
Why RAG outperforms keyword search
Citations & trust
Every answer links to sources—PDFs, docs, or pages—so users can verify quickly.
Safer responses
Guardrails, moderation, and policy prompts reduce risky or off-topic outputs.
SEO synergy
Surface long-tail answers & related routes; optional static search pages for crawlable content.
Cost control
Chunking, caching, and reranking cut token spend while improving relevance.
Analytics
Search gaps, satisfaction, and deflection metrics feed your roadmap.
Ingest → Chunk → Embed → Retrieve → Generate → Cite
1) Ingestion
Crawls, sitemaps, PDFs, docs, Google Drive, Notion—deduped with canonical rules.
2) Chunking
Structure-aware chunk sizes with overlap and metadata (titles, anchors, tags).
3) Embeddings
Benchmark vectors/models by corpus, latency, and language needs.
4) Retrieval
Hybrid BM25 + vector, rerankers, and filters (doc type, product, locale, role).
5) Generation
Constrained prompts, function calls, and templates tuned to your brand voice.
6) Evals
Offline and live evals with adversarial suites, precision/recall, and human reviews.
Security, privacy, and governance
Access control
RBAC, SSO/SAML, per-index ACLs, and audit trails.
PII hygiene
Redact and hash sensitive fields at ingestion; configurable runtime masking.
Hosting options
Cloud, VPC, or on-prem; encryption in transit/at rest and private networking.
Where RAG shines
Product docs & SDKs
Faster answers for developers with code-aware chunks and citations.
Customer support
Deflect tickets with an on-site assistant that shows sources and hand-off paths.
Internal knowledge
Search across docs, wikis, and files with role-aware answers.
Ready for trustworthy site search & chat?
We’ll blueprint your ingestion, retrieval, and guardrails—then launch with evals and analytics.
FAQs
How big can our index be?
From a few hundred pages to millions of chunks. We shard indexes and cache hot sets for latency.
What languages are supported?
Multilingual embeddings and locale routing; we evaluate by language to pick the best stack.
Can we show citations and expand passages?
Yes—inline citations with expand/collapse, doc preview, and deep links.
Do you integrate with chat widgets?
Embed our assistant in your site/app, or we can integrate with existing widgets via SDKs.
Give users cited, correct answers—fast
Let’s launch a RAG search & chat experience tailored to your content and compliance.