instant-distance
qdrant
instant-distance | qdrant | |
---|---|---|
7 | 141 | |
281 | 17,943 | |
0.4% | 3.4% | |
5.6 | 9.9 | |
about 1 month ago | 4 days ago | |
Rust | 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.
instant-distance
- Show HN: A fast HNSW implementation in Rust
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Hierarchical Navigable Small Worlds
https://github.com/instant-labs/instant-distance is a compact, fairly readable, pretty fast implementation of the paper in Rust.
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Building a Vector Database with Rust to Make Use of Vector Embeddings
When I looked at it the Rust-CV HNSW implementation was pretty messy, and it looks like it hasn't seen any commits in 2 years. This is partly why we started instant-distance as an alternative, which I think has come out pretty well (for the particular use cases that it serves).
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DiskANN Pure Rust Implementation Interest
I believe u/dochtman's implementation of HNSW is about as good as HNSW is going to get. Competing with the scalability and features (like streamed updates) of FAISS is what I hope to accomplish with this project. Based on interest, I'm now leaning towards an MIT license for the implementation.
- Approaches to looking up data in 2d space
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Hierarchical Navigable Small Worlds (HNSW)
I wrote an HNSW implementation in pure Rust:
https://github.com/InstantDomain/instant-distance
It works pretty well for us at InstantDomainSearch.
I like to think that this is a fairly idiomatic Rust implementation so it might be easier to follow than Facebook's FAISS. It's kinda similar in design to FAISS, so I think it might achieve similar performance, though we haven't spent enough time benchmarking yet.
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Using Aligned Word Vectors for Instant Translations with Python and Rust
We've released the underlying Rust implementation here: https://github.com/InstantDomain/instant-distance with Python bindings at https://pypi.org/project/instant-distance — feedback welcome!
qdrant
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Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
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.
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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)
What are some alternatives?
hora - 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
Milvus - A cloud-native vector database, storage for next generation AI applications
hnswlib - Header-only C++/python library for fast approximate nearest neighbors
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.
bat - A cat(1) clone with wings.
faiss - A library for efficient similarity search and clustering of dense vectors.
rust - Empowering everyone to build reliable and efficient software.
pgvector - Open-source vector similarity search for Postgres
ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
vector-db-benchmark - Framework for benchmarking vector search engines
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.