<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Decreasing Linear Graph</title><link>http://www.bing.com:80/search?q=Decreasing+Linear+Graph</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Decreasing Linear Graph</title><link>http://www.bing.com:80/search?q=Decreasing+Linear+Graph</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>GitHub - milvus-io/milvus: Milvus is a high-performance, cloud-native ...</title><link>https://github.com/milvus-io/milvus</link><description>🐦 Milvus is a high-performance vector database built for scale. It powers AI applications by efficiently organizing and searching vast amounts of unstructured data, such as text, images, and multi-modal information. 🧑‍💻 Written in Go and C++, Milvus implements hardware acceleration for CPU/GPU to achieve best-in-class vector search performance. Thanks to its fully-distributed and ...</description><pubDate>Mon, 22 Jun 2026 16:20:00 GMT</pubDate></item><item><title>GitHub - chroma-core/chroma: Search infrastructure for AI</title><link>https://github.com/chroma-core/chroma</link><description>Search infrastructure for AI. Contribute to chroma-core/chroma development by creating an account on GitHub.</description><pubDate>Tue, 23 Jun 2026 11:25:00 GMT</pubDate></item><item><title>GitHub - pgvector/pgvector: Open-source vector similarity search for ...</title><link>https://github.com/pgvector/pgvector</link><description>Open-source vector similarity search for Postgres. Contribute to pgvector/pgvector development by creating an account on GitHub.</description><pubDate>Tue, 23 Jun 2026 06:46:00 GMT</pubDate></item><item><title>llm-wiki · GitHub</title><link>https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f</link><description>You drop a new source into the raw collection and tell the LLM to process it. An example flow: the LLM reads the source, discusses key takeaways with you, writes a summary page in the wiki, updates the index, updates relevant entity and concept pages across the wiki, and appends an entry to the log. A single source might touch 10-15 wiki pages.</description><pubDate>Tue, 23 Jun 2026 06:17:00 GMT</pubDate></item><item><title>mileszim/awesome-vector-database - GitHub</title><link>https://github.com/mileszim/awesome-vector-database</link><description>A curated list of awesome vector databases for storing, managing, and searching high-dimensional data. This list includes open-source and commercial solutions, as well as databases that support different types of data and machine learning models.</description><pubDate>Sun, 14 Dec 2025 08:45:00 GMT</pubDate></item><item><title>GitHub - facebookresearch/faiss: A library for efficient similarity ...</title><link>https://github.com/facebookresearch/faiss</link><description>Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It ...</description><pubDate>Mon, 22 Jun 2026 13:28:00 GMT</pubDate></item><item><title>GitHub - qdrant/qdrant: Qdrant - High-performance, massive-scale Vector ...</title><link>https://github.com/qdrant/qdrant</link><description>Vector Search Engine for the next generation of AI applications Qdrant (read: quadrant) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points—vectors with an additional payload. Qdrant is tailored for extended filtering support, making it useful for all sorts of neural-network or semantic ...</description><pubDate>Tue, 23 Jun 2026 10:35:00 GMT</pubDate></item><item><title>GitHub - flanker/chromadb-admin: Admin UI for Chroma embedding database ...</title><link>https://github.com/flanker/chromadb-admin</link><description>Admin UI for Chroma embedding database built with Next.js - flanker/chromadb-admin</description><pubDate>Sun, 21 Jun 2026 06:05:00 GMT</pubDate></item><item><title>GitHub - WutADude/LazyDiscordAndYouTubeUnlocker: Лаунчер для обхода ...</title><link>https://github.com/WutADude/LazyDiscordAndYouTubeUnlocker</link><description>- Для работы лаунчера требуется .NET 8+ (При запуске происходит проверка, если он не установлен - вам будет предложено загрузить .NET с официального сайта, процесс не сложный) - Перед работой обязательно нужно выключить все ...</description><pubDate>Sun, 21 Jun 2026 11:27:00 GMT</pubDate></item><item><title>GitHub - weaviate/weaviate: Weaviate is an open-source vector database ...</title><link>https://github.com/weaviate/weaviate</link><description>Weaviate is an open-source, cloud-native vector database that stores both objects and vectors, enabling semantic search at scale. It combines vector similarity search with keyword filtering, retrieval-augmented generation (RAG), and reranking in a single query interface. Common use cases include RAG systems, semantic and image search, recommendation engines, chatbots, and content ...</description><pubDate>Mon, 22 Jun 2026 18:50:00 GMT</pubDate></item></channel></rss>