joeg_usa

4 ms·

1. 1.▲
   by joeg_usa 11mo ago

   my apology for the delay - USPTO - (and we are at 1.5m now) 63-909979
2. 2.▲
   by joeg_usa 11mo ago

   Ranking Algorithm: The search uses SQLite FTS5 with BM25 ranking (Okapi BM25 probabilistic retrieval model), not PageRank. Current ranking factors: - Field boosts: Title gets 20x weight, Tags 5x, Content 1x - Quality boosts: +2
3. 3.▲
   by joeg_usa 11mo ago

   I suppose the answer here is that their is around 52k results - not by design; but, by limitation --- we are actively running for 2M... 10 local crawlers, 5 remote crawlers, 0 mesh crawlers, and etc. In general - it is a huge set but, small
4. 4.▲
   by joeg_usa 11mo ago

   The index is running up to 2M and at present there are 2.8 Million index but, only 52k results... The long term goal is to provide a local search solution that is a competitor to search your own data without the complexity, cost, distributi
5. 5.▲
   by joeg_usa 11mo ago

   yes, some of the pages are requiring authentication; this may either be a bug or in fact they are currently secured.
6. 6.▲
   Decentralized search engine – Node, SQLite, mesh network, $22/mo to run(qwikwit.com)

   5 points by joeg_usa 11mo ago|10 comments
7. 7.▲
   by joeg_usa 11mo ago

   I built a search engine that runs on Node + SQLite + FTS5. BM25 + 384-dim vector + FTS5 hybrid ranking Mesh network with RSA crypto identity (no central auth) Remote nodes contribute crawl data through P2P WebSocket 930 bytes per doc (2M do