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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

Semantic recall

Embeddings retrieve conceptually relevant passages, not just exact matches.

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.