CKckluis·Oct 8, 2024Submission
Knowledge Table (OSS AI GitHub Repo)
1 points · Open discussionwhyhow-ai
knowledge-table
HISTORICAL RECORD2024–2024
whyhow-ai / knowledge-table · Not publicly available
knowledge-table
Discover this repository through its Hacker News conversations.
2Distinct people
2Mentions
0Explicit recommenders
What to know before exploring
What it is
A public description has not been verified.
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
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Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by hour2 dated mentions
Observed mentions: 2024-10-07 18:26:50 UTC to 2024-10-08 11:57:48 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Oct 7, 18:00 | 2024-10-07 18:00:00 UTC | 2024-10-07 19:00:00 UTC | 1 | 1 | 0 |
| Oct 7, 19:00 | 2024-10-07 19:00:00 UTC | 2024-10-07 20:00:00 UTC | 0 | 0 | 0 |
| Oct 7, 20:00 | 2024-10-07 20:00:00 UTC | 2024-10-07 21:00:00 UTC | 0 | 0 | 0 |
| Oct 7, 21:00 | 2024-10-07 21:00:00 UTC | 2024-10-07 22:00:00 UTC | 0 | 0 | 0 |
| Oct 7, 22:00 | 2024-10-07 22:00:00 UTC | 2024-10-07 23:00:00 UTC | 0 | 0 | 0 |
| Oct 7, 23:00 | 2024-10-07 23:00:00 UTC | 2024-10-08 00:00:00 UTC | 0 | 0 | 0 |
| Oct 8, 00:00 | 2024-10-08 00:00:00 UTC | 2024-10-08 01:00:00 UTC | 0 | 0 | 0 |
| Oct 8, 01:00 | 2024-10-08 01:00:00 UTC | 2024-10-08 02:00:00 UTC | 0 | 0 | 0 |
| Oct 8, 02:00 | 2024-10-08 02:00:00 UTC | 2024-10-08 03:00:00 UTC | 0 | 0 | 0 |
| Oct 8, 03:00 | 2024-10-08 03:00:00 UTC | 2024-10-08 04:00:00 UTC | 0 | 0 | 0 |
| Oct 8, 04:00 | 2024-10-08 04:00:00 UTC | 2024-10-08 05:00:00 UTC | 0 | 0 | 0 |
| Oct 8, 05:00 | 2024-10-08 05:00:00 UTC | 2024-10-08 06:00:00 UTC | 0 | 0 | 0 |
| Oct 8, 06:00 | 2024-10-08 06:00:00 UTC | 2024-10-08 07:00:00 UTC | 0 | 0 | 0 |
| Oct 8, 07:00 | 2024-10-08 07:00:00 UTC | 2024-10-08 08:00:00 UTC | 0 | 0 | 0 |
| Oct 8, 08:00 | 2024-10-08 08:00:00 UTC | 2024-10-08 09:00:00 UTC | 0 | 0 | 0 |
| Oct 8, 09:00 | 2024-10-08 09:00:00 UTC | 2024-10-08 10:00:00 UTC | 0 | 0 | 0 |
| Oct 8, 10:00 | 2024-10-08 10:00:00 UTC | 2024-10-08 11:00:00 UTC | 0 | 0 | 0 |
| Oct 8, 11:00 | 2024-10-08 11:00:00 UTC | 2024-10-08 12:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
2 sourcesShow HN: Knowledge Table – Explainable multi-document extraction
hi HN,
We've just open-sourced knowledge table, a tool designed to simplify extracting and exploring structured data from unstructured documents.
We built it internally to help solve some of the structured data problems we work on, and kept getting questions about it when we used it in demos. A lot of it was motivated by the frustration of zero-shot multi-document retrieval, as well as the need for non-technical domain experts to have an interface they're familiar with. We found that inserting a tabular intermediary step for structured data construction in your backend RAG system improved accuracy and consistency, and was immediately explainable (and critiquable) by domain experts.
It's built with react and fastapi, all dockerized. We're going to consistently contribute to this, mostly integrations with some feature extensions we learn fr
Read the rest
om customer work. Future work is outlined in the readme and roadmap.
key features:
- natural language interface for data extraction
- customizable extraction rules
- chunk linking for data traceability
- spreadsheet-like interface for familiarity
- extensible backend for developers
This is intended to be a community project, and we're looking for feedback and contributions, but we'll be working on it regardless as customers use it. We're particularly interested in hearing about potential use cases, feature ideas, and code contributions. Suggestions and critiques welcome.
github: https://github.com/whyhow-ai/knowledge-table
demo: https://knowledge-table-demo.whyhow.ai/