qdrant
zincsearch
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| qdrant | zincsearch | |
|---|---|---|
| 140 | 37 | |
| 17,839 | 16,465 | |
| 8.2% | 2.0% | |
| 9.9 | 6.6 | |
| 4 days ago | 12 days ago | |
| Rust | Go | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
qdrant
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Boost Your Code's Efficiency: Introducing Semantic Cache with Qdrant
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.
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
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/
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Show HN: A fast HNSW implementation in Rust
Also compare with qdrant's Rust implementation; they tout their performance. https://github.com/qdrant/qdrant/tree/master/lib/segment/src...
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pgvecto.rs alternatives - qdrant and Weaviate
3 projects | 13 Mar 2024
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Open-source Rust-based RAG
There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb
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Qdrant 1.8.0 - Major Performance Enhancements
For more information, see our release notes. Qdrant is an open source project. We welcome your contributions; raise issues, or contribute via pull requests!
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Perform Image-Driven Reverse Image Search on E-Commerce Sites with ImageBind and Qdrant
Initialize the Qdrant Client with in-memory storage. The collection name will be “imagebind_data” and we will be using cosine distance.
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7 Vector Databases Every Developer Should Know!
Qdrant is an open-source vector search engine optimized for performance and flexibility. It supports both exact and approximate nearest neighbor search, providing a balance between accuracy and speed for various AI and ML applications.
- Ask HN: Who is hiring? (February 2024)
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Step-by-Step Guide to Building LLM Applications with Ruby (Using Langchain and Qdrant)
Qdrant serves as a vector database, optimized for handling high-dimensional data typically found in AI and ML applications. It's designed for efficient storage and retrieval of vectors, making it an ideal solution for managing the data produced and consumed by AI models like Mistral 7B. In our setup, Qdrant handles the storage of vectors generated by the language model, facilitating quick and accurate retrievals.
zincsearch
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OpenObserve: Elasticsearch/Datadog alternative in Rust.. 140x lower storage cost
Please give the benefit of the doubt on HN.
This company created ZincSearch:
https://github.com/zincsearch/zincsearch
Prabhat is one of the core contributors/maintainers:
https://github.com/zincsearch/zincsearch/graphs/contributors
https://github.com/prabhatsharma
Also the negative insinuation of using “cheap” labor out of India to build the product is unnecessary. If you’re concerned about code quality, look at the code.
Assuming everyone working with devs in India is doing so cynically is not charitable.
I dont know why the headquarters was set as india versus SF but does it actually even matter?
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Manticore 6.0.0 – a faster alternative to Elasticsearch in C++
See also this lightweight alternative to ES: https://github.com/zinclabs/zinc
- I created Atomic: Self Hosted Open Source Alternative to Reclaim, Clockwise & Motion
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Sonic: A Super-Light Alternative to Elasticsearch
I would pay $5 to have every one of these projects stop saying "alternative to ElasticSearch" unless they implement the ES API (as https://github.com/zinclabs/zinc at least claims) because if one just wanted some schemaless full text searching wizardry, there are about 10 of those projects. If one is trying to replace kibana or the damn near infinite log gathering tools that target ES, Sonic and Melisearch and and and are not going to get it done
q.v. https://github.com/zinclabs/zinc/blob/v0.3.6/docs/swagger.ya...
- Any Full Text Search library for json data?
- An alternative to Elasticsearch that runs on a few MBs of RAM
- ZincSearch – lightweight alternative to Elasticsearch written in Go
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Hacker News top posts: Sep 22, 2022
ZincSearch – lightweight alternative to Elasticsearch written in Go\ (0 comments)
What are some alternatives?
Milvus - A cloud-native vector database, storage for next generation AI applications
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
faiss - A library for efficient similarity search and clustering of dense vectors.
dozzle - Realtime log viewer for docker containers.
pgvector - Open-source vector similarity search for Postgres
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
quickwit - Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
quickwit - Quickwit is a fast and cost-efficient distributed search engine for large-scale, immutable data. [Moved to: https://github.com/quickwit-oss/quickwit]