vald
qdrant
Our great sponsors
vald | qdrant | |
---|---|---|
13 | 140 | |
1,455 | 17,943 | |
1.3% | 8.2% | |
9.3 | 9.9 | |
5 days ago | about 18 hours ago | |
Go | Rust | |
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.
vald
- What is the reason for using go mod replace like this?
-
Top 10 Best Vector Databases & Libraries
Vald (1.2k ⭐) → A highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which made for searching from billions of feature vector data.
- open-source google-like search for workplace knowledge
-
[P] Embeddinghub: A vector database built for ML embeddings
Another approximate nearest neighbor system to look at: https://vald.vdaas.org/
- Vector Search Indexes
-
Vald: a highly scalable distributed fast approximate nearest neighbour dense vector search engine.
Web: https://vald.vdaas.org
GitHub: https://github.com/vdaas/vald
-
Hacker News top posts: Apr 9, 2021
Vald: A Highly Scalable Distributed Vector Search Engine\ (26 comments)
- Vald: A Highly Scalable Distributed Vector Search Engine
qdrant
-
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.
-
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/
-
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...
-
pgvecto.rs alternatives - qdrant and Weaviate
3 projects | 13 Mar 2024
-
Open-source Rust-based RAG
There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb
-
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!
-
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.
-
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)
-
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.
What are some alternatives?
Milvus - A cloud-native vector database, storage for next generation AI applications
faiss - A library for efficient similarity search and clustering of dense vectors.
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.
hora - 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
pgvector - Open-source vector similarity search for Postgres
alvd - alvd = A Lightweight Vald. A lightweight distributed vector search engine works without K8s.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.