# ChatGPT Relevant Import Summary

Import date: July 7, 2026  
Source: local ChatGPT export folder provided by user  
Mode: relevance-filtered staging import  
Raw export copied into repository: no  
AI APIs used: no

## Summary

The ChatGPT export was processed in sharded format and filtered for NGIE-AI project relevance.

| Metric | Count |
| --- | ---: |
| Conversation shards read | 7 |
| Conversations read | 617 |
| Conversations imported as relevant | 314 |
| Conversations skipped | 303 |
| Messages imported | 14,185 |
| Words imported | 1,434,536 |

## Privacy Boundary

The raw ChatGPT export was not copied into the repository.

Private generated conversation content is written to ignored local folders:

- `sources/chatgpt/cleaned/`
- `sources/chatgpt/conversations/`
- `sources/chatgpt/metadata/`
- `knowledge/chatgpt/`
- `sources/chatgpt/reports/chatgpt-import-report.json`
- `sources/chatgpt/reports/chatgpt-import-report.md`

These paths are intentionally excluded from Git so private ChatGPT content is not committed accidentally.

## Relevance Signals

Top project relevance terms detected:

| Term | Matching conversations |
| --- | ---: |
| `gini` | 232 |
| `innovation` | 164 |
| `ecosystem` | 136 |
| `riverspace` | 122 |
| `giniverse` | 119 |
| `giniverse108` | 103 |
| `gini inc` | 90 |
| `eriverspace` | 83 |
| `ellijay riverspace` | 74 |
| `automation` | 63 |
| `shopify` | 61 |
| `north georgia innovation ecosystem` | 59 |
| `business growth` | 56 |
| `giniinc.tech` | 53 |
| `gini tech` | 40 |
| `assessment` | 36 |
| `ai-powered` | 25 |
| `foodtech` | 21 |
| `foodtechsupply` | 18 |
| `ngie` | 17 |

## What Was Added

The importer now supports:

- Sharded ChatGPT exports such as `conversations-000.json`.
- Export folder input instead of only a single `conversations.json`.
- Relevance filtering with `--relevant-only`.
- Minimum relevance threshold with `--min-score`.
- Privacy-preserving default behavior that does not copy raw export files.

Command used:

```powershell
node scripts\import-chatgpt.mjs --input C:\Users\nidhi\Downloads\c646c87f88866ee113832f62a54bcd3096ccb240b9bf8a80f2a9548fba4ca66e-2026-07-06-18-17-00-47e6bee902af4526b91e6a491fd55b56 --relevant-only --min-score 6 --reports sources\chatgpt\reports
```

## Current Status

The ChatGPT knowledge is staged locally, but it has not yet been merged into the canonical `knowledge/objects/*.json` set used by the current search, graph, BI, decision, and assessment layers.

This is intentional. The imported conversations need review and conversion into standardized knowledge objects before they become trusted platform knowledge.

## Recommended Next Steps

1. Build a ChatGPT Knowledge Object Generator that converts staged relevant conversations into standard knowledge objects.
2. Mark all generated ChatGPT objects as `review_status: pending`.
3. Run duplicate/thin-content checks separately from website objects.
4. Review the highest-value strategy, service-definition, pricing, architecture, Shopify, and assessment conversations first.
5. Only after review, merge approved ChatGPT objects into the main search/graph/BI layers.