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How it select model? using AI?

I am getting used to with this lightrag-snkv, Now I dont need to check hacker news site again, it automatically ingest top ranked posts and I can query and check answers using natural query language.

if you are opening video in mobile github app then it won’t open.Check in browser.



Right now Show HN and Ask HN tags based blogs and its comments are ingested in database.


this is not mythology. this is ithihasas meaning thus it happened


- but there is one point you have not accounted for

- what actually happened may not be what was written

- what was written 5000 yrs ago may not be what you are reading now. lots of people may have created their own versions or modified the original in ways you did not foresee

- the author who originally wrote the books may also have exaggerated for storytelling effect

- the probability of all of the above mathematically speaking is non zero


>- what was written 5000 yrs ago may not be what you are reading now. lots of people may have created their own versions or modified the original in ways you did not foresee

india vedic texts are passed through "oral tradition" where you recite same text backward and forward and through patterned permutations of words, if there is error it shows up, it's like redundant error-correcting encoding / repetition validation


- you dont know if there was an error that happened when it went via recitation from one generation to the other before it was converged into a book

- my point is that most people fail to consider the fact that there may have been major errors during the entire period of 5000 yrs


Dude, that sort of transmission is only applicable to the four vedas (and even they exist in rescensions, some have later insertions eg: Maitrayani samhita, and the meter is generally lost due to language shifts). When you say "Vedic" those are the texts which count. Rāmāyana and Mahabhārata are not really "vedic" nor subject to such accurate transmission rules.

So they exist in many rescensions across India each with their own edits and interpolations. Some attempt has been made to create "critical" editions by taking the intersection of existing manuscripts but since there's no expectation of fidelity in transmission, we will never know what the original stories were.

So you can get even the western indologists to agree the battle of 10 kings mentioned in Rigveda very likely happened, and a Vasishtha and a Vishwamitra and a Trasadasyu existed in real life. However the epics leave out or conflict in many details with the aforementioned Vedic texts. Eg: a shantanu finds mention in Rigveda, a Parikshit and Janamejaya are mentioned in later samhitas. However there's no mention of pāndavas, kāuravas or a grand scale war. Neither there is a mention of a vyāsa / krishna dvaipayana in vasishtha's lineage in the accurately transmitted texts. It's very difficult to take Mahābhārata as an accurate historical document.



i like this idea, especially for the parent who dont want their kids to watch reels/shorts of the instagram and youtube apps.


That is a smart angle!


What architectural decisions enabled pg_textsearch to outperform Tantivy/ParadeDB by 4.7×, especially given Tantivy’s reputation for speed?


vibes


lol


Interesting approach — especially around modifying SQLite’s internals.

In SNKV, I’m taking almost the opposite direction: keeping B-tree / storage-layer ideas and removing the SQL layer entirely, to expose a minimal key-value interface.

Curious how you think about the tradeoff between simplifying the query layer vs the storage layer.

https://github.com/hash-anu/snkv


Really interesting design — especially using SQLite-compatible storage with a PostgreSQL interface.

I'm working on SNKV, which explores a different approach: skipping the SQL layer entirely and focusing on a simple key-value interface.

It works closer to the storage layer (b-tree / WAL / pager concepts), aiming for a lightweight and minimal design, while supporting multi-process access.

Curious how you think about the tradeoff between SQL flexibility and a simpler KV interface.

https://github.com/hash-anu/snkv


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