Slacode

社内の膨大なドキュメントとデータを高精度なAI検索エンジンへ

契約書やPDF、社内Wikiから根拠と出典を明示した正確な回答を即座に引き出します

企業向け検索・RAGシステム

Slacodeは、社内マニュアル、契約書、ナレッジベース、社内DBを安全に連携し、ハルシネーション(嘘)のない正確な回答を生成する企業向けRAG検索基盤を構築します。PostgreSQL pgvectorとハイブリッド検索、厳格な権限管理(RBAC)で、引用元段落付きの確実な情報提供を実現します。

REAL-WORLD USE CASES // PRACTICAL APPLICATIONS

Common business situations where we build this

Every day problems companies face, how we engineer the solution, and the measurable business outcome.

INTERNAL KNOWLEDGE

Instant Company SOP & Policy Search

The Challenge

New hires and team members lose hours searching through messy Google Drives, Notion pages, and long PDF manuals to find company procedures.

What We Build

A private search assistant connects to your company documents, answers questions in plain English, and links directly to the exact paragraph where the policy is written.

Vector EmbeddingsHybrid Keyword SearchNotion & Drive Connectors
The Result

Employees get answers in seconds instead of digging through folders or interrupting colleagues.

LEGAL & COMPLIANCE

Vendor Contract & Agreement Review

The Challenge

Operations teams spend days manually reviewing vendor contracts to verify liability terms, cancellation windows, and payment schedules.

What We Build

The system scans uploaded contracts against your standard checklist, highlights risky clauses, and pulls all renewal dates into an organized dashboard.

PDF ParsersContext-Aware SearchStructured Data Extraction
The Result

Reduces contract review time by 75% and ensures renewals never slip past unnoticed.

CUSTOMER SERVICE

Customer Support Agent Knowledge Copilot

The Challenge

Support agents take 15+ minutes per ticket searching product manuals and technical documentation for troubleshooting steps.

What We Build

An assistant embedded inside your helpdesk suggests verified answers with exact manual citations as soon as a customer message arrives.

Zendesk / Intercom IntegrationDocument RetrievalStrict Grounding
The Result

Helps agents resolve customer issues 50% faster while maintaining 100% factual accuracy.

Private Document Search

  • Instant search across PDFs, Word docs, spreadsheets, Notion, and Google Drive
  • Every single answer links directly to the exact file, page number, and paragraph
  • Automated file re-indexing whenever your team updates a document
  • Role-based access control so sensitive HR and financial files stay protected

Customer Support Copilots

  • Embedded directly into Zendesk, Intercom, or your internal support dashboard
  • Suggests verified troubleshooting steps and policy answers to support agents
  • Reduces average ticket handling time without risking fabricated information
  • Highlights outdated articles so your team knows which manuals need updates

Plain-English Database Reports

  • Ask questions in normal business English and receive instant tables and charts
  • Text-to-SQL querying that lets non-technical managers inspect company metrics
  • Read-only database sandboxing that protects production records from accidental edits
  • Scheduled automated metric briefings delivered to management channels
RETRIEVAL PIPELINE

How Our Enterprise RAG Finds Verified Answers

A strict four-stage retrieval pipeline that prevents hallucinations and ensures every answer cites verified sources.

01

Document Ingestion & Chunking

Reads your PDFs, spreadsheets, and docs, breaking them into clean semantic chunks.

Deliverable

Indexed vector representation of your entire knowledge base

02

Hybrid Search & Re-ranking

Combines keyword matching and semantic vector search to pull the most relevant passages.

Deliverable

Top-ranked source excerpts matching the exact user query

03

Grounded Answer Generation

Generates a plain-English answer strictly constrained to the retrieved excerpts.

Deliverable

Direct, hallucination-free answer with exact citations

04

Source Citation & Delivery

Presents the final response alongside clickable links to the source files and pages.

Deliverable

Verified response ready for immediate team or customer use

よくあるご質問

開発着手前にお客様からよくいただく質問に率直にお答えします。

相談してみる
We use strict retrieval grounding. If a question cannot be answered using the documents in your verified database, the system states that the information was not found rather than guessing.

貴社に最適なテクノロジーを構築します

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