Zendesk Reviews

Weaviate Reviews

Zendesk mentions (7)

• The Ultimate Guide to Building Internal Tools in 2024

  Popular solutions ****include Zendesk and Help Scout. - Source: dev.to / 7 months ago

• is this scam

  That's not a reddit a url. zendesk.com is the url, whatever the hell that is. Source: over 1 year ago

• [HELP] Can't log in to upload SSL due to expired SSL

  Had my new SSL delivered at around the same time as my old one expired and now I can't log in due to it having expired. Is there an alternative URL I can get to, to log in? I've tried zendesk.com and hoped for a backend route through there but no cigar. Source: over 1 year ago

• Special trick to get support for battery replacement ?

  Seven hours later and I have still not received a new email from "BOOXHelp help@boox.com via zendesk.com" (or other boox/onyx email). The last human-generated email I got from there was two days ago (Wed, Aug 31, 3:15 PM). Source: over 1 year ago

• Here's how I'd figure out the go-to-market for a Customer Support SaaS

  My way of doing marketing starts with figuring out what my overall project will (or will not) be. In this case, I looked at the vendors like Zendesk, Intercom, Freshdesk, or Help Scout. They all have whizbang features such as live-chat, collaboration stuffs, automations and workflows. They bill per contact and addons. I’d emphasize a straightforward, fuss-free angle instead. Source: about 2 years ago

Weaviate mentions (28)

• How to choose the right type of database

  Weaviate: An open-source, cloud-native vector database built for scalable and fast vector searches. It's particularly effective for semantic search applications, combining full-text search with vector search for AI-powered insights. - Source: dev.to / 3 months ago

• 7 Vector Databases Every Developer Should Know!

  Weaviate is an open-source vector search engine with out-of-the-box support for vectorization, classification, and semantic search. It is designed to make vector search accessible and scalable, supporting use cases such as semantic text search, automatic classification, and more. - Source: dev.to / 4 months ago

• Qdrant, the Vector Search Database, raised $28M in a Series A round

  Congrats to them! What have your experiences with vector databases been? I've been using https://weaviate.io/ which works great, but just for little tech demos, so I'm not really sure how to compare one versus another or even what to look for really. - Source: Hacker News / 4 months ago

• How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era

  A RAG implementation's quality and performance highly depend on the similarity-based search of embeddings. The challenge arises from the fact that embeddings are usually high-dimensional vectors, and the knowledge base may have many documents. It's not surprising that the popularity of LLM catalyzed the development of specialized vector databases like Pinecone and Weaviate. However, SQL databases are also evolving... - Source: dev.to / 5 months ago

• Make Notion search great again: Vector Database

  To find semantically similar texts we need to calculate the distance between vectors. While we have just a few short texts we can brute-force it: calculate the distance between our query and each text embedding one by one and see which one is the closest. When we deal with thousands or even millions of entries in our database, however, we need a more efficient way of comparing vectors. Just like for any other way... - Source: dev.to / 6 months ago