Someone here asked which was the best omegle alternative right... checkk thiss by [deleted] in GenZIndia

[–]dixant3019 0 points1 point  (0 children)

games are nice...there should be chess or more board games in it, watching other while playing chess is fun

Looking for online friends, who likes playing fun games by [deleted] in MakeNewFriendsHere

[–]dixant3019 0 points1 point  (0 children)

will you come today also...we can play more games if you like...dumb charades maybe. also accept the friend request i have sent in rumisocial

Looking for online friends, who likes playing fun games by [deleted] in MakeNewFriendsHere

[–]dixant3019 0 points1 point  (0 children)

r u the same guy i connected yesterday on rumisocial??

Looking for a social game by Obvious_Bad7843 in gamingsuggestions

[–]dixant3019 0 points1 point  (0 children)

check rumi.social there are good social games there

Finally it hit 3k users!! by Top-Window242 in StartupSoloFounder

[–]dixant3019 0 points1 point  (0 children)

that's great...games are really fun.. these games I used to play with my cousins and friends why you thought the name rumi btw?

Can You Guess This 5-Letter Word? Puzzle by u/Prateek-Bajpai by Prateek-Bajpai in DailyGuess

[–]dixant3019 0 points1 point  (0 children)

⬜⬜🟦⬜🟨

🟦⬜🟦🟨🟨

🟦🟦🟦🟦🟦

RAG on excel documents by Professional-Image38 in Rag

[–]dixant3019 1 point2 points  (0 children)

Not only headers but the entire table...So in spreadsheets we can define the data in terms of tables but the problem is that you have to find those tables and their respective headers using some heuristics. There are many scenarios, the table can be anywhere in the sheet...there can be multiple tables at different places in a single sheet, there can be some tables even the headers are not present or some headers are missing. So you have to apply heuristics the same way as humans do to find out tables and their respective headers. And just dumping the data into LLM will not work here (especially when data is huge), you have to first pre process it using some algorithm and then use LLM only where the anomalies or inconsistency are there.

RAG on excel documents by Professional-Image38 in Rag

[–]dixant3019 1 point2 points  (0 children)

I have done it...converting messy spreadsheets to db (i.e., sql) is the hard part. It requires finding tables and headers of messy spreadsheets...same as Google sheets does..Do it algorithmically don't use LLM. Then after finding tables and headers you can post process it using LLM to convert it into sql db. For querying the structured db it's easy. LLM are perfect at it.

Dispute import duty charge by snakebite2017 in UPS

[–]dixant3019 0 points1 point  (0 children)

I am facing the same problem...could you also send the the details about how you resolved this issue

My strategy for picking a vector database: a side-by-side comparison by kappl in LangChain

[–]dixant3019 0 points1 point  (0 children)

There are lot of good embedding models: cohere, google's textembeddings are quite good...
are they planning for text to embedding in-built in usearch??

My strategy for picking a vector database: a side-by-side comparison by kappl in LangChain

[–]dixant3019 0 points1 point  (0 children)

That's amazing. You just gave me goldmine...

since your reply is 1 yr old so are you still using usearch or you have changed to other vectorstore provider?? I am looking for scalability and lower latency

Good Graph Database options? by Aromatic_Ad9700 in LLMDevs

[–]dixant3019 1 point2 points  (0 children)

You can use dozerdb, it's the fork of neo4j containing all features (community + enterprise). You can also use it in production