Getting Started

ChunkOps is the intelligent data integrity layer for RAG applications. Think of it as the quality assurance system that ensures your AI never hallucinates due to contradictory or redundant information in your knowledge base.

Quick Start

1Create Your Account

url

https://console.chunkops.ai/register

2Ingest Your Documents

Upload documents through the console, API, or connect your data sources:

bash

curl -X POST https://api.chunkops.ai/v1/documents/upload \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "file=@policy.pdf"

3Review & Deploy

ChunkOps automatically surfaces conflicts and duplicates. Review flagged issues in the dashboard, resolve them with a single click, and deploy clean data to your vector database.

Enterprise Ready

ChunkOps is designed for mission-critical applications with enterprise-grade security and reliability built in from day one.

Core Concepts

The Data Integrity Problem

RAG systems are only as good as the data they retrieve. When your knowledge base contains contradictory information—outdated policies, conflicting specifications, duplicate entries—your AI will confidently return incorrect answers. ChunkOps acts as the guardian of your data quality.

Intelligent Chunking

Our proprietary document processing engine understands document structure and semantics, creating optimal chunks that preserve context and meaning for accurate conflict detection.

Conflict Intelligence

Advanced reasoning identifies semantic contradictions that would cause your RAG to return inconsistent answers—not just keyword matches, but true logical conflicts.

Semantic Deduplication

Identifies conceptually identical content across your knowledge base, reducing index bloat and eliminating retrieval noise that degrades response quality.

Golden Data

Curated, conflict-free, deduplicated content that's ready for production deployment. Your single source of truth.

Data Sources

Connect your document sources with one click. ChunkOps automatically syncs, processes, and monitors your content for changes—no custom pipelines required.

Supported Connectors

📁

Google Drive

OAuth integration with folder sync and Google Docs export

📝

Notion

Sync pages and databases with automatic Markdown conversion

📘

Confluence

Atlassian integration for all your team documentation

☁️

Amazon S3

Connect any S3 bucket with prefix filtering

📂

SharePoint

Microsoft 365 integration via Graph API

🔌

Custom API

Send pre-chunked content via REST API

How It Works

Connect

Click "Add Source" and authenticate with OAuth (or enter credentials for S3). No code required—just authorize access.

Sync

ChunkOps discovers documents, extracts content, and runs them through the Smart Ingestion pipeline—deduplication, conflict detection, and chunking.

Monitor

Enable auto-sync to detect changes automatically. Get alerts when source documents are updated or new conflicts are detected.

Auto-Sync & Change Detection

Configure automatic syncing on a schedule that works for your team:

Daily, weekly, or custom intervals
Drift detection—know when source documents change
Smart diffing—only process what's new or updated
Conflict alerts when synced content contradicts existing data

Zero-Code Setup

Unlike traditional ETL pipelines, ChunkOps connectors require no engineering time. Connect in 30 seconds, start syncing in under a minute.

Smart Ingestion

Every document you upload goes through our intelligent processing pipeline. It's not just parsing—it's understanding.

The Ingestion Pipeline

Parse

Documents are processed to extract content, structure, and metadata

Analyze

Intelligent chunking preserves semantic context and document hierarchy

Validate

New content is compared against your existing knowledge base

Flag

Conflicts and duplicates are surfaced for human review

Curate

Clean data is prepared for deployment to your vector database

Supported Formats

PDFDOCXTXTMarkdownHTMLCSVJSON

Enterprise Ingestion

For high-volume ingestion or custom document types, our API supports batch processing and pre-processed content. Contact us for enterprise integration options.

Conflict Detection

Our conflict detection engine goes beyond simple text matching. It understands semantic meaning to identify when two pieces of content say different things about the same topic.

Types of Conflicts Detected

Numerical Contradictions

Different values for the same metric, limit, or threshold across documents

Policy Conflicts

Contradicting rules, procedures, or guidelines that would confuse users

Temporal Inconsistencies

Conflicting dates, deadlines, or version information

Semantic Contradictions

Statements that logically contradict each other, even when worded differently

Resolution Workflow

🗄️ Archive Old

Accept the new version as authoritative. The old content is preserved for audit purposes but excluded from retrieval.

🗑️ Reject New

Keep the existing version. The new content is flagged as superseded and won't enter your knowledge base.

Deduplication

Redundant content bloats your vector index, increases costs, and introduces noise into retrieval results. Our deduplication engine identifies semantically equivalent content—even when the wording is different.

Exact Duplicates

Content-level fingerprinting catches identical content instantly, regardless of formatting or metadata differences.

Semantic Duplicates

Deep understanding of meaning identifies paraphrased content that conveys the same information in different words.

Cost Optimization

By eliminating redundant content before it reaches your vector database, ChunkOps helps reduce storage costs and improve retrieval quality.

Deployment

Once your data is curated and conflict-free, deploy it directly to your production vector database. ChunkOps handles the synchronization intelligently to minimize costs and ensure consistency.

Supported Vector Databases

🔷

Pinecone

🔶

Weaviate

🐘

PostgreSQL

Intelligent Sync

Smart Upsert

Only new and modified chunks are pushed to your database, saving on API calls and write operations.

Automatic Cleanup

Rejected and archived content is automatically removed from your production index—most RAG pipelines only add, never subtract.

Preview Before Deploy

See exactly what will be added, updated, or removed before executing the deployment.

Q&A Generation

Automatically generate high-quality question-answer pairs from your documents. Use them for regression testing, evaluation benchmarks, or fine-tuning.

Use Cases

🧪 Regression Testing

Verify your RAG system still returns correct answers after knowledge base updates.

📊 Evaluation

Benchmark different RAG configurations against a consistent ground-truth dataset.

🎓 Training

Create domain-specific training data for fine-tuning models on your content.

📋 Documentation

Generate FAQ content from technical documentation for self-service support.

Integrations

ChunkOps fits seamlessly into your existing infrastructure and workflows.

Data Sources

Google DriveS3NotionConfluenceSharePoint

Vector Databases

PineconeWeaviatePostgreSQLQdrantMilvus

CI/CD

GitHub ActionsGitLab CIJenkinsCircleCI

Frameworks

LangChainLlamaIndexHaystackCustom

Need a Custom Integration?

Our API is designed for flexibility. If you need a specific integration that's not listed, reach out to discuss your requirements.

API Reference

ChunkOps provides a comprehensive REST API for programmatic access to all features.

Authentication

http

# All requests require Bearer token authentication
Authorization: Bearer YOUR_API_KEY

# Get your API key from Settings in the console

Core Endpoints

POST/api/v1/documents/upload

Upload and process a document

GET/api/v1/library/conflicts

Get pending conflicts for review

POST/api/v1/library/deploy

Deploy curated data to your vector database

POST/api/v1/analyze/compare

Compare two documents for conflicts

POST/api/v1/evaluate/generate

Generate Q&A pairs from a document

Full API Documentation

Complete API documentation with request/response schemas is available in the console under Settings → API Documentation.

Need help? Let's chat.

Whether you have questions, feedback, or want to discuss enterprise deployment—we're here to help.