Hi, I wanted to know if somebody done elastic search Detection as Code.
I am trying to make a DaC approach for maintaining elastic rule through GitHub and facing kibana issues "where it says I'm unauthorised evn though having a super access"
I have made a search for my project using elastic search in which i used synonyms and and fuzziness and basic matching. I want it to work as users feeling, what users want , can you guys help me how to implement it in elastic search, i tried its semantic search but couldn't get its ELSR model. Help me!!!!
See if you can leverage something like whoosh and fiddle with levenshtein distance parameter for forming elastic queries.
If budget is not a constraint go for Algolia
I am trying to make a DaC approach for maintaining elastic rule through GitHub and facing kibana issues "where it says I'm unauthorised evn though having a super access"
Hey folks, I have been working for the past few months on the centralised internal search tool for all the companies and I need your honest feedback and feedback.
Problem: Today, every company uses "a ton" of tools- Notion, confluence, ...
I am thinking of using VectorDBs for storing documents, thinking of using LLMs for QnA use cases, what do y’all think?
Hey fellow comers, just showing my progress. I will launch by next month hopefully.
I've completed my work for:
Currently, I'm working on finishing:
Hi I have recently started working on Search product, have been confused about certain things, is there someone in community who has experience working on search product?