Slacode
AI Automations Discipline

Private AI knowledge assistants that answer questions directly from your company documents

Stop letting team members waste hours searching Notion, Slack, and Google Drive. We engineer secure RAG systems that deliver instant, verifiable answers with direct citations.

Executive Overview

Private Enterprise RAG & AI Knowledge Bases

Most businesses sit on thousands of pages of internal documentation, standard operating procedures (SOPs), technical manuals, and historical project logs. Yet employees spend hours hunting for basic information or making avoidable mistakes. We build private Retrieval-Augmented Generation (RAG) systems that turn your internal knowledge into an intelligent assistant. Powered by vector databases (pgvector, Pinecone), hybrid keyword-semantic search, and strict security filters, our assistants give your team immediate, accurate answers with direct links to the source paragraphs.

Built as part of our AI Automations practice. We deliver production systems with clean source code handover, zero ongoing agency lock-in, and structured project milestones.

Technical Specifications

Core Engineering Capabilities

Every deliverable is constructed under strict production standards without brittle workarounds.

Secure Vector Ingestion & Chunking

  • Automated real-time ingestion from Notion, Google Drive, Confluence, Jira, and internal PDFs
  • Intelligent semantic chunking that preserves tables, bullet points, and document context
  • Hybrid search architecture combining dense vector embeddings with BM25 lexical keyword matching
  • pgvector (PostgreSQL native) or Pinecone hosting ensuring enterprise-grade scalability

Factual Accuracy & Guardrails

  • Mandatory source attribution: every response displays clickable citations linking to the exact source line
  • Zero hallucination boundary: the agent explicitly states when information is absent from your documents
  • Strict data privacy: zero client data is retained or used to train public foundation models
  • Role-based access control (RBAC): employees only receive answers from documents they have permission to view

Custom Interfaces & Team Access

  • Internal Slack and Microsoft Teams bot integration for instant company-wide querying
  • Web-based internal portal with dark mode, conversation history, and feedback rating loops
  • Admin analytics dashboard displaying the most frequently asked questions and identified documentation gaps
  • REST API endpoints allowing your custom software platforms to query the knowledge engine
Practical Deployment

Real-World Client Scenarios

How commercial organizations apply this technology to eliminate bottlenecks and accelerate revenue.

Internal Employee Onboarding & SOP Assistant

New hires ask questions about HR policies, engineering guidelines, setup steps, and project standards, receiving instant answers with direct links to Notion docs.

Measurable Business ImpactShortens new hire ramp time by 50% and eliminates repetitive questions directed at senior leadership.
Production Tech Stack
pgvectorPostgreSQLNext.jsOpenAI EmbeddingsClaude 3.5 SonnetSlack Bot

Technical Customer Support Agent Copilot

Support engineers enter complex customer bug reports; the assistant queries 800+ pages of technical architecture docs and suggests the exact troubleshooting steps.

Measurable Business ImpactReduces average support ticket resolution time from 45 minutes to under 8 minutes.
Production Tech Stack
PineconeLangChainFastAPIZendesk APIDocker

Frequently asked questions

Honest answers to the most common questions clients ask before working with us.

Ask a question
We use strict RAG prompt architecture with temperature set to 0.0. The system is instructed to only answer using the retrieved context snippets. If the required information is not found in your private knowledge base, the model explicitly responds: 'This information is not covered in our documentation' and offers to notify an admin.

Ready to deploy enterprise rag?

Speak directly with our senior software engineers to map your technical specifications and get an honest roadmap with fixed milestones.