<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Semantic-Search on Noureddine RAMDI</title><link>https://ramdi.fr/tags/semantic-search/</link><description>Recent content in Semantic-Search on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/semantic-search/index.xml" rel="self" type="application/rss+xml"/><item><title>Minds Platform: An enterprise-grade AI foundation for autonomous agents and semantic search</title><link>https://ramdi.fr/github-stars/minds-platform-an-enterprise-grade-ai-foundation-for-autonomous-agents-and-semantic-search/</link><pubDate>Fri, 15 May 2026 14:23:51 +0000</pubDate><guid>https://ramdi.fr/github-stars/minds-platform-an-enterprise-grade-ai-foundation-for-autonomous-agents-and-semantic-search/</guid><description>Minds Platform offers a Python-based AI foundation with autonomous agents and semantic search, designed for flexible enterprise deployment across cloud and on-prem environments.</description></item><item><title>cocoindex-code: AST-aware semantic code search with efficient embedding integration</title><link>https://ramdi.fr/github-stars/cocoindex-code-ast-aware-semantic-code-search-with-efficient-embedding-integration/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/cocoindex-code-ast-aware-semantic-code-search-with-efficient-embedding-integration/</guid><description>cocoindex-code combines AST parsing with semantic embeddings for precise code search, offering a zero-config setup, background indexing daemon, and smooth integration with coding agents.</description></item><item><title>Edit Mind: orchestrating multi-modal AI pipelines for local-first semantic video search</title><link>https://ramdi.fr/github-stars/edit-mind-orchestrating-multi-modal-ai-pipelines-for-local-first-semantic-video-search/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/edit-mind-orchestrating-multi-modal-ai-pipelines-for-local-first-semantic-video-search/</guid><description>Edit Mind indexes video libraries with multi-modal AI pipelines and stores embeddings for semantic search. Its Docker Compose microservices orchestrate transcription, object, and face recognition for scene-level queries.</description></item><item><title>Knowledge Engine: bridging markdown wikis with sub-5ms semantic search</title><link>https://ramdi.fr/github-stars/knowledge-engine-bridging-markdown-wikis-with-sub-5ms-semantic-search/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/knowledge-engine-bridging-markdown-wikis-with-sub-5ms-semantic-search/</guid><description>Knowledge Engine connects markdown wikis with Memvid&amp;rsquo;s sub-5ms semantic search using a dual-layer design, automatic sync, and entity extraction for AI-augmented knowledge work.</description></item><item><title>MindForger: A C++ personal knowledge manager with semantic Markdown navigation</title><link>https://ramdi.fr/github-stars/mindforger-a-c-personal-knowledge-manager-with-semantic-markdown-navigation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/mindforger-a-c-personal-knowledge-manager-with-semantic-markdown-navigation/</guid><description>MindForger is a cross-platform C++ desktop app combining a Markdown IDE and personal knowledge management with local semantic note linking and knowledge graph navigation.</description></item><item><title>A-MEM: dynamic semantic memory management for LLM agents inspired by Zettelkasten</title><link>https://ramdi.fr/github-stars/a-mem-dynamic-semantic-memory-management-for-llm-agents-inspired-by-zettelkasten/</link><pubDate>Sun, 03 May 2026 00:54:10 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-mem-dynamic-semantic-memory-management-for-llm-agents-inspired-by-zettelkasten/</guid><description>A-MEM is a Python agentic memory system that dynamically organizes LLM agent memories using semantic embeddings and automatic linking, inspired by Zettelkasten.</description></item><item><title>MemPalace: local-first AI memory with strong semantic retrieval and no cloud dependency</title><link>https://ramdi.fr/github-stars/mempalace-local-first-ai-memory-with-strong-semantic-retrieval-and-no-cloud-dependency/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/mempalace-local-first-ai-memory-with-strong-semantic-retrieval-and-no-cloud-dependency/</guid><description>MemPalace offers a local-first AI memory system with 96.6% recall on conversation history retrieval without any cloud or LLM calls, emphasizing privacy and efficient semantic search.</description></item><item><title>MindsDB: unified AI-powered SQL querying and data fusion for diverse sources</title><link>https://ramdi.fr/github-stars/mindsdb-unified-ai-powered-sql-querying-and-data-fusion-for-diverse-sources/</link><pubDate>Sun, 26 Apr 2026 17:51:11 +0000</pubDate><guid>https://ramdi.fr/github-stars/mindsdb-unified-ai-powered-sql-querying-and-data-fusion-for-diverse-sources/</guid><description>MindsDB offers an AI-powered SQL-compatible engine that unifies structured and unstructured data across 200+ sources, enabling semantic search and conversational analytics with AI agents.</description></item></channel></rss>