Freshservice VS Qdrant
Compare Freshservice VS Qdrant and see what are their differences
Transform your IT service delivery with SysAid's seamless automation, ensuring a consistently exceptional experience for all users effortlessly
featured
Freshservice
Asana
Redmine
Basecamp
Wrike
Trello
Jira Service Desk
ServiceNow
Qdrant
Milvus
Weaviate
pgvecto.rs
Vespa.ai
Zilliz
ElasticSearch
txtai
Qdrant is a leading open-source high-performance Vector Database written in Rust with extended metadata filtering support and advanced features. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications. Powering vector similarity search solutions of any scale due to a flexible architecture and low-level optimization. Qdrant is trusted and high-rated by Machine Learning and Data Science teams of top-tier companies worldwide.
Freshservice QdrantNo features have been listed yet.
No Qdrant videos yet. You could help us improve this page by suggesting one.
Qdrant's answer:
Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.
Qdrant's answer:
Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.
Qdrant's answer:
Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.
Based on our record, Qdrant seems to be a lot more popular than Freshservice. While we know about 38 links to Qdrant, we've tracked only 3 mentions of Freshservice. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If you're fine with writing emails instead of filling in an Outlook form (as a user), then https://freshservice.com/ might work. Source: about 2 years ago
FreshService is pretty good and ticks all the boxes you're looking for (https://freshservice.com/). Source: over 2 years ago
If you're not capable of hosting the solution yourself, there are solutions that have per-agent models that will cost you much less than SchoolDude, all while being substantially more feature rich. osTicket and FreshService are both great examples. A cloud hosted instance of osTicket is only $9/agent/month. FreshService is a more polished solution, but costs more at $19/agent/month. Source: about 3 years ago
Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker. - Source: dev.to / 1 day ago
I took Qdrant for this project. The reason was that Qdrant stands for high-performance vector search, the best choice against use cases like finding similar function calls based on semantic similarity. Qdrant is not only powerful but also scalable to support a variety of advanced search features that are greatly useful to nuanced caching mechanisms like ours. - Source: dev.to / 8 days ago
I'm currently looking to implement locally, using QDrant [1] for instance. I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2]. [1]. https://qdrant.tech/. - Source: Hacker News / 30 days ago
There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb. - Source: Hacker News / about 2 months ago
Initialize the Qdrant Client with in-memory storage. The collection name will be “imagebind_data” and we will be using cosine distance. - Source: dev.to / 2 months ago
Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Redmine - Flexible project management web application
Weaviate - Welcome to Weaviate
Basecamp - A simple and elegant project management system.
pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs