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AI Knowledge Management

AI Knowledge Base Agent

Team knowledge was trapped in folders nobody searched — experts spent 20+ hours a month answering the same questions. Now anyone can ask and get an instant answer sourced from the team's actual documents, updated automatically.

30h
saved per month
360h
saved per year
100%
fully automated
24/7
available

The Problem

Knowledge trapped in documents, time lost to finding it

Answers existed — they just weren't accessible

The team had built up years of documentation, SOPs, and training material. But finding a specific answer meant searching through folders, scanning PDFs manually, and hoping you were reading the right version.

Expert time was absorbed by information retrieval

Experienced team members spent 20+ hours per month answering the same questions over and over — not because they didn't want to help, but because there was no other way to surface the information quickly.

Manual knowledge bases don't stay current

Any system that requires manual curation becomes stale the moment someone forgets to update it. Teams needed their knowledge base to index new documents automatically — with no maintenance overhead at all.

The Solution

Two workflows — one self-maintaining knowledge system

WF1 · Chat Agent — Query Pipeline
Trigger

Chat Interface

Embeddable widget, 24/7 public access

Orchestrator

AI Conversation Engine

Gemini, persistent memory

Retrieval

Semantic Retrieval

Top-5 passages, Pinecone search

Hub

Pinecone Vector DB

Shared knowledge namespace

WF2 · Document Vectorizer — Indexing Pipeline
Trigger

Document Intake Monitor

Google Drive watch — new file detected automatically

Processor

Indexing Engine

Parse · chunk · embed — any document format

Hub

Pinecone Vector DB

Vectors indexed — instantly searchable

System Architecture

Two coordinated workflows — one self-maintaining knowledge system

5 components · Fully automated — AI-driven · Pinecone, Google Gemini, OpenAI, Google Drive

WF1 Chat Agent (Query Pipeline) Chat Interface Embeddable chat widget 24/7 public access WF1 · TRIGGER query AI Conversation Engine Gemini orchestrator Persistent memory WF1 · ORCHESTRATOR search Semantic Retrieval Semantic similarity search Top-5 passages synthesised WF1 · RETRIEVAL TOOL retrieve verified answer Pinecone Vector Database Shared knowledge namespace SHARED HUB WF2 Document Vectorizer (Indexing Pipeline) Document Intake Monitor Google Drive watch WF2 · TRIGGER file Indexing Engine Parse · chunk · embed Any document format WF2 · PROCESSOR index

Measured Results

360 hours reclaimed every year

30h
Saved per month
Expert time redirected from answering questions to doing the actual work
24/7
Always available
Answers questions at any hour without requiring human availability
0
Manual updates ever
Drop a file into Drive — the system indexes it automatically, no maintenance required

Ready to automate?

Your documents answer questions.
Your team focuses on decisions.

Instant answers from your own documents
Self-indexing — zero maintenance
No hallucinations — grounded in real content
Book a free workflow audit →