Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression. Learn more →
Qdrant Alternatives
Similar projects and alternatives to qdrant
-
-
Weaviate
Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.
-
SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
-
-
-
towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
-
-
-
ONLYOFFICE
ONLYOFFICE Docs — document collaboration in your environment. Powerful document editing and collaboration in your app or environment. Ultimate security, API and 30+ ready connectors, SaaS or on-premises
-
-
-
-
awesome-vector-search
Collections of vector search related libraries, service and research papers
-
zincsearch
ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
-
ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
-
-
annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
-
manticoresearch
Easy to use open source fast database for search | Good alternative to Elasticsearch now | Drop-in replacement for E in the ELK soon
-
-
-
-
atomic
What if your calendar had a brain? Chat with and teach your calendar to solve your time problems (by rush86999)
-
InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
qdrant reviews and mentions
-
Building a Vector Database with Rust to Make Use of Vector Embeddings
Welcome in the vector search space. I started at Qdrant last month and we are also open source and fully written in Rust. Here's to learning from each other to bring the whole space forward.
-
Ask ATP ... using LLMs!
It's mostly Rust with a sprinkling of python for some of the ML stuff. The transcription is done via whisper (https://github.com/ggerganov/whisper.cpp) and the search is handle via standard lexical search (https://github.com/quickwit-oss/tantivy) combined with a vector database (https://qdrant.tech) to find relevant pieces of content.
-
BomDB 1.0: A command-line tool for Book of Mormon research
LLMs (e.g. ChatGPT, Anthropic, WizardLM, etc.) and vector databases (e.g. Qdrant, ChromaDB) are a dream for drawing possible connections between sources available to founders of the LDS church, and what they eventually produced as written works.
-
How do you hire experienced Rust engineers for a complex Rust project?
Why the scare quotes around "vector databases"? Not all of them are closed source (and Qdrant, one of the open source offerings written in Rust was even mentioned elsewhere in here).
-
What Is a Vector Database
Well, to work on the core of the Qdrant engine https://github.com/qdrant/qdrant you should have some db knowledge but even more important are Rust skills. However, we have also other products, like the cloud platform https://cloud.qdrant.io there we are looking for different skills.
-
Get rewarded for Rust Open Source contribution. 💰🦀
Qdrant OSS team now has a new approach to picking the right candidates to join the #Rust team. Previously we followed the well-known coding task approach, but since we are an #opensource company, we now let candidates contribute first. Not a new idea, right? But we have a pretty fair deal. If there is an open Rust developer position and you are interested in applying for it, pick a task on our GitHub issue tracker, solve it, and open a pull request. If your contribution is of good quality and the core team accepts the PR, we will invite you to an interview. In case this also goes well, you will most probably receive an offer to join the Qdrant team. If not… well, we will pay you for your contribution. We recently found two fantastic new members following this approach.
-
Ask HN: Who is hiring? (May 2023)
Qdrant, Remote-first, HQ in Berlin, hiring worldwide, Visa sponsorship.
Qdrant is an open-source Vector Database written in Rust 🦀. Also, available as a managed cloud solution (DBaaS). https://github.com/qdrant/qdrant
- DevRel Manager(s)
- Cloud Engineers (AWS,GCP,Azure)
Also, looking for paid open-source contributors. Strong Rust skills are required. 🦀
-
How to improve the index vector search for QA over docs?
You should try Qdrant or any other open-source Vector Database. Chrome isn't one. However, the quality also heavily depends on the model.
-
Ask HN: Seeking a Vector Database for ClickHouse Users – Suggestions Appreciated
You could check Qdrant, a dedicated Vector Database with advanced features. https://github.com/qdrant/qdrant
-
A note from our sponsor - InfluxDB
www.influxdata.com | 2 Jun 2023
Stats
qdrant/qdrant is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of qdrant is Rust.