Nuclia DB
qdrant
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Nuclia DB | qdrant | |
---|---|---|
3 | 139 | |
569 | 17,718 | |
3.9% | 7.6% | |
9.9 | 9.9 | |
3 days ago | 4 days ago | |
Rust | Rust | |
AGPL V3 | 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.
Nuclia DB
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Tantivy 0.20 is released: Schemaless column store, Schemaless aggregations, Phrase prefix queries, Percentiles, and more...
You have also NucliaDB that is built on top of tantivy and addresses vector search for documents and video search.
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Alternatives to Pinecone? (Vector databases) [D]
NucliaDB https://github.com/nuclia/nucliadb
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qdrant VS nucliadb - a user suggested alternative
2 projects | 18 Jul 2022
qdrant
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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.
- FLaNK Stack 29 Jan 2024
What are some alternatives?
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Milvus - A cloud-native vector database, storage for next generation AI applications
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
faiss - A library for efficient similarity search and clustering of dense vectors.
pgvector - Open-source vector similarity search for Postgres
ByteDetective - The easiest way to search for images on your desktop 🔎
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
tangram - Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.