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    An AI That Actually Knows Your Business — Grounded In Your Docs, Not The Internet.

    A RAG-powered knowledge agent that answers from your real documents, cites its sources on every answer, and respects your access controls — private, accurate, and yours.

    Delivered in 1–2 weeks by a single specialist. Every answer verifiable in one click.

    1–2wk
    Delivery
    100%
    Cited Answers
    Private
    By Default
    100%
    Ownership
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    Why This Matters

    A Chatbot That Hallucinates Is Worse Than No Chatbot At All

    Generic AI is confident and often wrong. A real RAG agent is grounded, cited, and safe to put in front of employees and customers.

    Problem
    Generic AI gives confident, wrong answers
    With A Real RAG Agent
    RAG grounds every answer in your actual documents, with a citation on each response
    Problem
    Knowledge scattered across wikis, PDFs, and Slack
    With A Real RAG Agent
    One unified knowledge base searched in real time — the whole company brain, one entry point
    Problem
    New employees can't find answers fast
    With A Real RAG Agent
    Instant, accurate answers from internal knowledge on day one — onboarding pain gone
    Problem
    Docs get outdated and answers go stale
    With A Real RAG Agent
    Knowledge base auto-syncs as source docs update — the agent is always current
    Problem
    No way to know if the agent is making things up
    With A Real RAG Agent
    Source citations on every answer — verifiable in one click, never a black box
    Problem
    Sensitive internal data can't go to a public chatbot
    With A Real RAG Agent
    Private, access-controlled RAG pipeline — your data stays yours, no leakage to third parties
    What's Included

    A Complete RAG Deployment

    Six deliverables that turn scattered docs into a queryable, cited, access-controlled knowledge system.

    Document Ingestion & Chunking Pipeline

    PDFs, wikis, Notion, Google Drive, Confluence, and more — ingested, chunked, and embedded properly for accurate retrieval.

    Vector Database Setup

    Pinecone, Weaviate, or pgvector — set up in your account with the right indexing, sharding, and backup strategy.

    Retrieval Tuning For Accuracy

    Hybrid search (semantic + keyword), reranking, and query rewriting — tuned per your content type for maximum accuracy.

    Source Citation On Every Answer

    Every response ships with a citation link to the source doc, page, and section — verifiable in one click.

    Access Control & Permissions

    Team-based access, role scoping, and per-document permissions — sensitive docs stay sensitive.

    Auto-Sync With Source Documents

    Docs updated in Notion / Google Drive / Confluence auto-reindex — the knowledge base is always current.

    Who It's For

    RAG Agents For Internal Teams, Support, & Compliance

    Anywhere accuracy and citations matter more than a chatty personality — that's where RAG earns its keep.

    Internal Employee Q&A

    HR policies, IT setup, engineering standards, marketing playbooks — one place to ask, cited answers every time.

    Customer-Facing Docs Search

    Turn your help center into a conversational assistant — customers self-serve at a much higher rate.

    Compliance & Legal Q&A

    Policies, contracts, regulations, and precedent — cited answers safe enough to trust in regulated industries.

    Sales Enablement Agent

    Product specs, competitor teardowns, pricing, and case studies — rep hits every call with instant, accurate answers.

    Engineering Docs Assistant

    Code standards, architecture decisions, runbooks, and postmortems — the tribal knowledge finally searchable.

    Product Team Knowledge Hub

    PRDs, user research, roadmaps, and past experiments — searchable in seconds, cited to source.

    Consulting Firm Institutional Memory

    Every past deliverable, methodology, and client engagement — junior consultants get senior-level context instantly.

    Education & Training Content

    Course materials, syllabi, and reference texts turned into a cited Q&A agent for students and staff.

    Platforms & Stack

    The RAG Toolkit

    Every RAG agent is built on production-grade vector infrastructure — deployed in your account, not mine.

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    Pinecone, Weaviate & pgvector

    The three top vector databases — Pinecone for managed simplicity, Weaviate for hybrid search, pgvector for self-hosted control.

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    GPT-4o & Claude

    Best-in-class LLMs for answer generation, chosen per accuracy and cost profile — model swappable at any time.

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    LlamaIndex & LangChain

    Battle-tested RAG frameworks for chunking, retrieval, reranking, and query rewriting — production-grade retrieval.

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    Notion, Confluence & Google Drive Sync

    Native auto-sync from the tools your docs already live in — no manual re-uploads when content changes.

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    Self-Hosted Deployment Options

    Fully self-hosted RAG on your VPC or on-prem — for regulated industries or ultra-sensitive data.

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    Custom Embedding Models

    OpenAI, Cohere, Voyage, or open-source embeddings — chosen per language, domain, and cost profile.

    Real Numbers

    What A Real RAG Deployment Delivers

    Aggregate outcomes from recent RAG engagements.

    1–2wk
    From Kickoff To Live
    100%
    Answers Cited To Source
    Private
    Deployment Available
    100%
    Data Ownership
    Modern Stack

    Built With The AI Tools That Actually Ship In 2026

    The stack I ship on — configured properly, exportable, and yours forever.

    GPT-4oReact + ViteNext.jsTypeScriptTailwind CSSManaged PostgresWordPressShopifyWooCommerceWebflowStripe & PaddleMailchimp & KlaviyoHubSpot, Salesforce, PipedriveGoogle Analytics 4Hotjar & Microsoft ClarityCalendly & Cal.comCloudflare & VercelAWS & NetlifySanity & Strapi CMSAlgolia SearchGPT-4oReact + ViteNext.jsTypeScriptTailwind CSSManaged PostgresWordPressShopifyWooCommerceWebflowStripe & PaddleMailchimp & KlaviyoHubSpot, Salesforce, PipedriveGoogle Analytics 4Hotjar & Microsoft ClarityCalendly & Cal.comCloudflare & VercelAWS & NetlifySanity & Strapi CMSAlgolia Search
    Client Voices

    What Teams Say About Their RAG Agent

    Real feedback from real knowledge-base deployments — internal ops, support, and compliance.

    "Deployed in under two weeks, handling 78% of inbound instantly. Support headcount stayed flat while revenue doubled."

    Sarah Chen
    Founder, Nova Skincare

    "Fixed price, honest scope, and every credential in my name. Best AI money I've spent — no lock-in anywhere."

    Marcus Reid
    CEO, LiftLab

    "Cited answers, not hallucinated ones. That single detail turned a 'nice-to-have' into a compliance-safe tool."

    Priya Sharma
    Head of Growth, FinTrust

    "One specialist, weekly Looms, no ticket queue. It felt like an in-house engineer for a fraction of the cost."

    Tom Whitaker
    Founder, DeskWave

    "Multilingual out of the box and integrated with our stack cleanly. Global support without hiring a global team."

    Aisha Bello
    Marketing Director, GreenHive
    Ownership

    You Own Every Doc, Vector, & Citation

    Eight ownership-first deliverables — the whole RAG stack in your accounts, no third-party leakage.

    Fixed-Price Scope Document

    A written scope agreed up front — no hourly billing, no surprise change orders halfway through.

    Full RAG Pipeline & Prompts

    Ingestion scripts, chunking configs, retrieval prompts — all delivered to your repo, nothing hidden.

    Every API Key & Vector DB In Your Name

    Pinecone, Weaviate, or pgvector — the database lives in your account with your data, not mine.

    Source-Cited Answers On Every Query

    Every answer ships with a citation to the source document — verifiable in one click, never a black box.

    Production-Ready Deployment

    Fully built, tested, and deployed to your environment — not a demo, not a Jupyter notebook prototype.

    Loom Walkthrough & Documentation

    A recorded walkthrough of every component plus written docs so your team can run it without me.

    30-Day Post-Launch Support

    Thirty days of tweaks, prompt tuning, and small revisions included — no ticket queue, direct message to me.

    Zero Vendor Lock-In

    Every model, tool, and provider is swappable — no proprietary black boxes, no forced retainers.

    How I Work

    A Simple, Predictable Four-Step Process

    1

    Discovery Call

    A 45-minute call to map the highest-ROI agent for your business — what it should do, the data it needs, and how it integrates.

    2

    Architecture & Scope

    I design the agent — model selection, prompt strategy, tools, guardrails — and send a fixed-price scope with timeline.

    3

    Build, Integrate & Test

    I build the agent, connect it to your data and tools, and stress-test it against real scenarios and prompt-injection attempts.

    4

    Launch & Handover

    We go live with monitoring in place, plus a Loom walkthrough, documentation, and 30 days of tuning included.

    Why Me

    Why Teams Choose Me Over A Generic RAG Vendor

    Built By A RAG & Retrieval Specialist

    Not a generalist. My practice is production RAG — chunking, hybrid search, reranking, and citation done right.

    Every Answer Cited, Never A Black Box

    No hallucinations, no 'trust me' answers — every response links back to the source doc, verifiable in a click.

    Live In 1–2 Weeks

    Not six months. Focused RAG agents ship in under two weeks — because the knowledge is scattered right now.

    Private & Access-Controlled By Default

    Your data stays yours. Access rules respected. Self-hosting available for regulated industries.

    One Specialist, Not A Ticket Queue

    You message me directly. Every embedding pipeline tuned by the person you hired, every retrieval fix run by them.

    Fixed Price, No Scope Creep

    Every package is fixed-price and fixed-scope. No hourly billing, no mid-project surprises.

    Pricing

    Simple, Fixed-Price RAG Packages

    Three levels that scale from a starter knowledge base to a fully self-hosted, access-controlled enterprise deployment.

    Starter

    Starter Knowledge Base

    Up to 500 docs, 1 source
    $1,799
    • Up to 500 documents
    • 1 source (Notion, Drive, or similar)
    • Basic RAG with citations
    • Web chat deployment
    • 30-day support
    MOST POPULAR
    Most Popular

    Growth Knowledge Base

    Multi-source, access control, 2 weeks
    $3,499
    • Everything in Starter
    • Multi-source sync (3+ sources)
    • Access control & role scoping
    • Advanced retrieval (hybrid + rerank)
    • Analytics dashboard
    • 60-day support + tuning
    Enterprise

    Enterprise Knowledge Base

    Self-hosted + custom embeddings
    $7,999+
    • Everything in Growth
    • Self-hosted / private cloud deployment
    • Custom embedding models
    • Multi-team access control (SSO)
    • Ongoing retrieval tuning retainer
    • SLA on accuracy & uptime

    Not sure which fits? Book a 20-minute call. I'll recommend the smallest scope that actually solves your bottleneck.

    FAQ

    Questions About RAG Knowledge Agents

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