AI that answers with your data—clearly, safely, and with sources
Your knowledge already lives in pages, PDFs, and drives. Our retrieval-augmented generation (RAG) solutions identify the relevant passages and then craft answers that are linked back to the source. Consequently, teams trust what they read, and customers get help faster.
What you get
- Answers your team and customers can trust.
- Sources for every claim.
- Fewer support tickets.
- Faster onboarding.
- Private by design.
Overview
Most chatbots guess; ours don’t. First, the system retrieves relevant passages from your content. Next, it generates an answer based only on those passages. As a result, responses stay grounded, readable, and verifiable. Moreover, every claim includes a citation, so stakeholders can click and confirm.
Meanwhile, you keep control. Data remains in your cloud, and permissions still apply. Therefore, sensitive materials stay private while the assistant works across public and internal content.
What we deliver
1) Discovery & Content Audit
With a short workshop, we map sources (web, PDFs, Word docs, Slides, ticketing systems, WordPress, Google Drive, S3). In parallel, we define inclusion rules, refresh cadence, and success metrics. Consequently, the project starts with shared, measurable goals.
2) Clean Ingest & Chunking
Because search quality depends on structure, we normalize HTML/Markdown, extract text from PDFs, remove boilerplate, and choose chunk size/overlap per content type. For example, policy pages use smaller chunks than blogs to improve precision. Furthermore, we deduplicate near-identical items to reduce noise.
3) Retrieval & Grounding
Hybrid retrieval (keyword + vector) finds candidates; then a re-ranker improves order. Afterward, we consolidate overlapping passages and attach canonical links. Thus, the answerer only sees vetted context, which reduces hallucination risk.
4) Answering & Guardrails
Prompts require citations; confidence thresholds trigger “I don’t know” instead of guesswork. Additionally, banned-term lists and domain allow lists keep the bot on topic. Consequently, answers remain useful, safe, and brand-appropriate.
5) Assistant UX
Choose a floating widget, a full-page assistant, or both. With simple theme hooks, you can set tone, logo, and color. Besides styling, we add small but important affordances—copy buttons, source toggles, and feedback actions—so adoption grows.
6) Admin & Analytics
Dashboards track popular queries, the no-answer list, response time, cost per query, and source usage. Because these insights highlight content gaps, your team knows exactly what to write next.
7) Security & Compliance
SSO/SAML, RBAC, IP allow lists, and audit logs are standard. Moreover, prompts and responses can be redacted, exported, or retained per policy. If needed, on-prem vector stores keep embeddings inside your network.
Technical deep dive
Although the business goals drive scope, implementation details matter:
- Models: OpenAI, Anthropic, and Gemini, with routing and fallbacks; local models are possible when data must stay offline.
- Frameworks: LangChain/LlamaIndex or custom pipelines in Python/Node, depending on constraints.
- Vector & Storage: Qdrant, Weaviate, or MySQL 8.4+ vectors; object storage on S3/GCS/Azure; optional pgvector.
- Retrieval: Hybrid BM25 + embeddings; cross-encoder re-ranking; passage de-duplication; citation canonicalization.
- Latency & Cost: Warm caches, top-k tuning, response truncation, and retry/backoff policies; consequently, the P95 remains tight.
- Observability: Structured logs, prompt/response traces, PII redaction, and drift alerts tied to evaluation sets.
- Testing: Offline eval on golden sets; online metrics (A/B, user feedback); nevertheless, human review remains the final gate for sensitive flows.
Because each environment differs, we document assumptions, interfaces, and rollbacks. Thus, your team can extend the system without surprises.
FAQs
Will it still make mistakes?
Occasionally, yes. However, cite-required prompts, strict grounding, and “I don’t know” reduce risk. In addition, dashboards reveal weak spots so you can improve content.
Is our data safe?
Absolutely. Data stays in your cloud with SSO and roles. Furthermore, logs and exports follow your retention policy.
Can it work in multiple languages?
Yes. We can index multilingual content and answer in the user’s language. Consequently, global teams get consistent help.
How do we measure ROI?
Track deflection rate, accuracy, first-response time, and cost per 1,000 queries. Therefore, you can report real impact, not anecdotes.
Call to action
Ready to see grounded answers with real citations?
Contact Us. We’ll review your content, outline the approach, and propose a quick pilot—so you can move from idea to impact, fast.