Lalit Pagaria

Results 39 issues of Lalit Pagaria

Currently, Haystack supports storing data into ElasticSearch, InMemory, and RDBMS. It would be nice to add support of Object storage like S3, which is very cheap and have less hassle...

type:feature
Contributions wanted!
topic:document_store
journey:advanced

It will make Replibyte easy to use via Github actions and we can run it outside of the DB network env

feature

Ref [LI comment](https://www.linkedin.com/feed/update/urn:li:activity:6932050062533382144?commentUrn=urn%3Ali%3Acomment%3A%28activity%3A6932050062533382144%2C6932199520491442177%29&replyUrn=urn%3Ali%3Acomment%3A%28activity%3A6932050062533382144%2C6932365612845326336%29)

This can be used https://github.com/jdepoix/youtube-transcript-api

enhancement

Currently we can create simple workflows consist of three node observer, analyzer and informer each. But as use cases demand for Obsei is growing better to allow user to create...

enhancement
breaking changes
engineering excellence

This task is related to add monitoring and AutoML capabilities to Obsei. [Rubrix](https://rubrix.readthedocs.io/) is an open source for tracking and iterating on data for AI projects. It can help Obsei's...

enhancement
low priority
feature:AutoML

It is ambitious tasks but adding relevant link to it so we can reference them later. ## Freshdesk Ticket: https://developers.freshdesk.com/api/#create_ticket Discussion: https://developers.freshdesk.com/api/#discussions Satisfaction Rating: https://developers.freshdesk.com/api/#satisfaction-ratings MailBox: https://developers.freshdesk.com/api/#email-mailboxes Contact Search: https://developers.freshdesk.com/api/#filter_contacts...

enhancement

There are two types of drifts: data and concept. There are many open source framework support detection of drift - https://github.com/online-ml/river - https://github.com/evidentlyai/evidently - https://github.com/SeldonIO/alibi-detect Few resources in this direction...

enhancement
low priority
feature:AutoML

Idea to fetch Post and it's comments when someone tag user.

good first issue
low priority
observer