Postgres for Search and Analytics
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Updated
Jun 12, 2024 - Rust
Postgres for Search and Analytics
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.
Cottontail DB is a column store vector database aimed at multimedia retrieval. It allows for classical boolean as well as vector-space retrieval (nearest neighbour search) used in similarity search using a unified data and query model.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
An open-source, high-performance SQL vector database built on ClickHouse.
Radient turns many data types (not just text) into vectors for similarity search, clustering, regression analysis, and more.
The official TypeScript/Node client for the Pinecone vector database
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.
cuVS - a library for vector search and clustering on the GPU
Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, C, and Swift, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
Example to help understand how to use hugging face sentance_transformers to encode searchable text into embeddings AND how to use cosine similarity search to determine similarity between a search prompt and the embeddings
Example to help understand how the BM25 term based ranking model works in search applications
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
JVector: the most advanced embedded vector search engine
跨平台的视频结构化(视频分析)框架,觉得有帮助的请给个星星 : ) 。**VideoPipe下一版本正在开发中,在保证跨平台、易上手的前提下,预计性能直逼deepstream等各硬件平台官方框架**。
Vald. A Highly Scalable Distributed Vector Search Engine
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