url stringlengths 13 1.72k | title stringlengths 1 655 | category stringclasses 37 values | tags listlengths 0 4 | score int64 1 9 | source stringclasses 8 values |
|---|---|---|---|---|---|
https://medium.com/@sanjeebmeister/implement-vector-database-using-aws-bedrock-f2223b8ac57a | Implement Vector Database Using AWS Bedrock | by Sanjeeb Panda | Medium | RAG & Vector Search | [
"vector-database",
"AWS"
] | 8 | edge |
https://app.daily.dev/posts/lrylexxcz | Intelligent Document Processing: Building a RAG Agent with Motia, Docling & Weaviate | RAG & Vector Search | [
"RAG agent",
"Intelligent Document Processing"
] | 9 | dailydev |
https://supabase.com/blog/vector-buckets?ref=dailydev | Introducing Vector Buckets | RAG & Vector Search | [
"vector-buckets",
"supabase",
"blog"
] | 7 | edge |
https://www.linkedin.com/feed/update/urn:li:activity:7427724439427145728?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7427724439427145728%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Javier Medel, MSc — Alibaba just open-sourced the “SQLite of vector databases” 🚀
Meet Zvec 🧠
An em | RAG & Vector Search | [
"Zvec",
"vector databases",
"Alibaba"
] | 8 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7424872410895581184?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7424872410895581184%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Jordan Choo — Spent the last 6 days building a GraphRAG agent...
Learned a ton about the infr | RAG & Vector Search | [
"GraphRAG",
"agent",
"infrastructure"
] | 8 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7426687028219531264?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7426687028219531264%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Joshua Lochner — After nearly a year of development, 🤗 Transformers.js v4 Preview is finally out | RAG & Vector Search | [
"Transformers.js",
"development",
"AI"
] | 7 | linkedin |
https://learn.microsoft.com/de-de/azure/search/vector-search-how-to-quantization | Komprimieren von Vektoren mithilfe der Quantisierung - Azure AI Search | Microsoft Learn | RAG & Vector Search | [
"vector",
"quantization"
] | 8 | edge_bookmarks |
https://www.linkedin.com/feed/update/urn:li:activity:7434494647630004224?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7434494647630004224%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Kreuzberg — “Document processing is the foundation of modern AI and search systems. In produ | RAG & Vector Search | [
"document processing",
"AI"
] | 8 | linkedin |
https://www.lancedb.com/blog/ | LanceDB Blog | Vector Database for RAG, AI Agents & Search | RAG & Vector Search | [
"vector",
"database",
"RAG"
] | 9 | edge |
https://smith.langchain.com/hub/rlm/rag-prompt | LangSmith | RAG & Vector Search | [
"langsmith",
"rag",
"prompt"
] | 8 | edge |
https://www.linkedin.com/feed/update/urn:li:activity:7404903648062885888?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7404903648062885888%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Lysandre Debut — 🪦text-generation-inference is now in maintenance mode.
Going forward, we will | RAG & Vector Search | [
"text generation",
"maintenance"
] | 5 | linkedin |
https://app.daily.dev/posts/make-rag-systems-32x-memory-efficient--qxzqnyhia | Make RAG systems 32x Memory Efficient! | RAG & Vector Search | [
"RAG",
"memory",
"efficiency"
] | 8 | dailydev |
https://www.linkedin.com/feed/update/urn:li:activity:7416768673383743488?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7416768673383743488%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Markus Kuehnle — Ever OCR a document, chunk it for RAG, and get nonsense answers?
You followed w | RAG & Vector Search | [
"OCR",
"document",
"RAG"
] | 8 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7388849773794971648?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7388849773794971648%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Markus Kuehnle — Most RAG pipelines break on scanned PDFs.
No text layer. No layout. No retrieva | RAG & Vector Search | [
"RAG pipelines",
"PDFs",
"retrieval"
] | 7 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7420010519081717762?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7420010519081717762%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Markus Kuehnle — The “vibe check” era of RAG is over.
If your system only feels right, it will b | RAG & Vector Search | [
"RAG",
"system design",
"quality"
] | 8 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7386779657347694592?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7386779657347694592%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Neo4j — 💡 RAG is not enough for building #LLM applications: hallucinations can happen, l | RAG & Vector Search | [
"RAG",
"LLM applications"
] | 9 | linkedin |
https://github.com/NirDiamant/rag_techniques | NirDiamant/RAG_Techniques: This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses. | RAG & Vector Search | [
"RAG",
"techniques"
] | 9 | edge |
https://thenewstack.io/open-source-usearch-library-jumpstarts-scylladb-vector-search/?ref=dailydev | Open source USearch library jumpstarts ScyllaDB vector search - The New Stack | RAG & Vector Search | [
"vector search",
"open source",
"ScyllaDB"
] | 8 | edge |
https://app.daily.dev/posts/pageindex-cookbook-pageindex-rag-simple-ipynb-at-main-vectifyai-pageindex-dv5lh0ogs | PageIndex/cookbook/pageindex_RAG_simple.ipynb at main · VectifyAI/PageIndex | RAG & Vector Search | [
"RAG",
"Vector Search"
] | 8 | dailydev |
https://www.linkedin.com/feed/update/urn:li:activity:7388804918993756160?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7388804918993756160%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Pallavi Ahuja — Stop paying for $3,000 "RAG" bootcamps.
Qdrant just put a full, production-grad | RAG & Vector Search | [
"RAG",
"bootcamps",
"Qdrant"
] | 7 | linkedin |
https://thenewstack.io/prompting-vs-rag-vs-fine-tuning-why-its-not-a-ladder/?ref=dailydev | Prompting vs. RAG vs. fine-tuning: Why it’s not a ladder - The New Stack | RAG & Vector Search | [
"prompting",
"rag",
"fine-tuning"
] | 7 | edge |
https://www.linkedin.com/feed/update/urn:li:activity:7274709947479642112?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7274709947479642112%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Qdrant — 🔍 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐖𝐞𝐛 𝐒𝐞𝐚𝐫𝐜𝐡, 𝐏𝐫𝐢𝐯𝐚𝐭𝐞 𝐚𝐧𝐝 𝐒𝐞𝐥𝐟-𝐇𝐨𝐬𝐭𝐞𝐝
PrAIvateSearch is a self-hoste | RAG & Vector Search | [
"Web Search",
"Self-Hosted",
"AI"
] | 7 | linkedin |
https://docs.perplexity.ai/guides/pro-search-quickstart | Quickstart - Perplexity | RAG & Vector Search | [
"search",
"quickstart"
] | 8 | edge |
https://blog.dailydoseofds.com/p/rag-and-fine-tuning-in-llms?ref=dailydev | RAG & Fine-tuning in LLMs - by Avi Chawla | RAG & Vector Search | [
"rag",
"fine-tuning",
"llms"
] | 9 | edge |
https://app.daily.dev/posts/rag-explained-for-beginners-jlrh0jurc | RAG Explained For Beginners | daily.dev | RAG & Vector Search | [
"RAG",
"beginners"
] | 6 | edge |
https://arxiv.org/pdf/2508.04903 | RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory | RAG & Vector Search | [
"context routing",
"multi-agent",
"LLM"
] | 8 | edge |
https://www.linkedin.com/feed/update/urn:li:activity:7411381869935570944?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7411381869935570944%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | ROSHAN XAVIER — Is your RAG pipeline smart, or is it just good at matching keywords?
Traditiona | RAG & Vector Search | [
"RAG pipeline",
"keyword matching"
] | 8 | linkedin |
https://secure.ragie.ai/home | Ragie | RAG & Vector Search | [
"rag",
"search",
"ai"
] | 8 | edge |
https://www.ragie.ai/?ref=dailydev | Ragie | Fully managed RAG-as-a-Service for developers | RAG & Vector Search | [
"RAG",
"managed service"
] | 8 | edge |
https://www.linkedin.com/feed/update/urn:li:activity:7385898817373720576?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7385898817373720576%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Raunak Garhwal — 𝗥𝗔𝗚 🧠 𝘃𝘀 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 🔧 | 𝗖𝗵𝗼𝗼𝘀𝗲 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗳𝗼𝗿 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 🤖
1️⃣ | RAG & Vector Search | [
"RAG",
"fine-tuning"
] | 9 | linkedin |
https://benchable.ai/models/relace/relace-search-20251208 | Relace: Relace Search - AI Model Details & Benchmarks | RAG & Vector Search | [
"AI Model",
"Benchmarks"
] | 7 | edge |
https://cohere.com/rerank?source=post_page-----e0c24a68893b--------------------------------------- | Rerank | Boost Enterprise Search and Retrieval | Cohere | RAG & Vector Search | [
"enterprise search",
"retrieval"
] | 7 | edge |
https://www.linkedin.com/feed/update/urn:li:activity:7329109636823842817?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7329109636823842817%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Reyhan Merekar — RAG is core skill for AI engineers today.
Getting started? That part’s relative | RAG & Vector Search | [
"RAG",
"AI engineers",
"skills"
] | 8 | linkedin |
https://redis.io/langcache/ | Semantic caching-as-a-service with Redis LangCache - Redis | RAG & Vector Search | [
"Redis",
"caching"
] | 7 | edge |
https://www.linkedin.com/feed/update/urn:li:activity:7405156949039820800?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7405156949039820800%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Shirin Khosravi Jam — I work on RAG + AI Agents in production
(for a year - its not a 1 week thing)
an | RAG & Vector Search | [
"AI agents",
"production"
] | 8 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7409189602957082624?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7409189602957082624%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Shirin Khosravi Jam — Uber built a AI Agent + RAG that converts English to SQL
(saving 300 engineers | RAG & Vector Search | [
"AI agent",
"SQL"
] | 8 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7432627256369274880?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7432627256369274880%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Shubham Saboo — This open-source project just made vector databases optional for RAG 🤯
No embed | RAG & Vector Search | [
"open-source",
"vector databases"
] | 8 | linkedin |
https://github.com/Shubhamsaboo/awesome-llm-apps?tab=readme-ov-file | Shubhamsaboo/awesome-llm-apps: Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models. | RAG & Vector Search | [
"rag",
"llm",
"agents"
] | 9 | edge |
https://www.linkedin.com/feed/update/urn:li:activity:7414173496227995649?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7414173496227995649%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Sreenath Kulkarni — Most RAG systems fail not because of the LLM — but because of how agents and ret | RAG & Vector Search | [
"RAG systems",
"LLM"
] | 8 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7433324362574823424?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7433324362574823424%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Stephen Chin — We finished the first half of "GraphRAG: The Definitive Guide" with O'Reilly and | RAG & Vector Search | [
"GraphRAG",
"Guide"
] | 8 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7415433179089588224?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7415433179089588224%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Stephen Coltart — https://lnkd.in/gwaUvFE6 Check out Essential #GraphRAG, a free, comprehensive | RAG & Vector Search | [
"GraphRAG",
"Free Resource",
"AI"
] | 8 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:6988228225554415616?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A6988228225554415616%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Steve Nouri — This AI app lets you erase parts of the video and replace them with whatever you | RAG & Vector Search | [
"AI",
"video editing"
] | 7 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7417894794733170689?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7417894794733170689%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Sumanth P — Document Index for Vectorless, Reasoning-based RAG!
PageIndex is an open-source | RAG & Vector Search | [
"document",
"index",
"open-source"
] | 9 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7432774101100023808?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7432774101100023808%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Sumanth P — Lightweight, lightning-fast, in-process vector database!
Alibaba released Zvec, | RAG & Vector Search | [
"vector database",
"lightweight"
] | 8 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7403769199522648065?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7403769199522648065%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Sumanth P — RAG Engine for deep document understanding!
RAGFlow is an open-source RAG engin | RAG & Vector Search | [
"RAG",
"document understanding"
] | 9 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7433102017373536256?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7433102017373536256%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Sumanth P — Turn your laptop into a powerful RAG system!
LEANN can index and search through | RAG & Vector Search | [
"RAG system",
"indexing",
"search"
] | 8 | linkedin |
https://blog.dailydoseofds.com/p/the-open-source-rag-stack?ref=dailydev | The Open-source RAG Stack - by Avi Chawla | RAG & Vector Search | [
"RAG",
"open-source"
] | 8 | edge |
https://www.linkedin.com/feed/update/urn:li:activity:7427009513746186240?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7427009513746186240%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | The Year of the Graph — EdgeQuake: High-Performance Open Source Graph-RAG Framework in Rust
Transform d | RAG & Vector Search | [
"Graph",
"RAG",
"Framework"
] | 8 | linkedin |
https://www.ragie.ai/tools | Tools | RAG & Vector Search | [
"tools",
"ragie"
] | 7 | edge |
https://github.com/VectifyAI/PageIndex | VectifyAI/PageIndex: 📄🧠 PageIndex: Document Index for Reasoning-based RAG | RAG & Vector Search | [
"RAG",
"document index"
] | 8 | edge |
https://app.daily.dev/posts/vector-index-vs-vector-database-n0sc484go | Vector Index vs Vector Database | daily.dev | RAG & Vector Search | [
"vector index",
"vector database"
] | 8 | edge |
https://blog.vespa.ai/vector-search-is-reaching-its-limit/?ref=dailydev | Vector Search Is Reaching Its Limit. Here’s What Comes Next | Vespa Blog | RAG & Vector Search | [
"vector-search",
"limits",
"future"
] | 8 | edge |
https://vectorize.io/ | Vectorize | RAG & Vector Search | [
"vector search",
"AI"
] | 7 | edge |
https://vectorize.io/?ref=producthunt | Vectorize | RAG & Vector Search | [
"vectorize",
"search"
] | 8 | edge |
https://www.mongodb.com/company/blog/technical/vision-rag-enabling-search-on-any-documents?ref=dailydev | Vision RAG: Enabling Search on Any Documents | MongoDB | RAG & Vector Search | [
"search",
"documents",
"MongoDB"
] | 8 | edge |
https://clickhouse.com/blog/qbit-vector-search?ref=dailydev | We built a vector search engine that lets you choose precision at query time | RAG & Vector Search | [
"vector search",
"engine"
] | 9 | edge |
https://www.metabase.com/blog/we-simplified-metabase-embedding?ref=dailydev | We simplified embedding | RAG & Vector Search | [
"embedding",
"simplified"
] | 7 | edge |
https://app.daily.dev/posts/gghry6oxx | What Is RAG and How to Implement It ? | RAG & Vector Search | [
"RAG",
"implementation",
"search"
] | 8 | dailydev |
https://app.daily.dev/posts/what-is-graphrag-complete-guide-2025--3mdxbesnn | What is GraphRAG: Complete guide [2025] | RAG & Vector Search | [] | 8 | dailydev |
https://app.daily.dev/posts/what-is-agentic-rag-how-it-works-benefits-challenges-more-hjychu5aw | What is agentic RAG? How it works, benefits, challenges & more | daily.dev | RAG & Vector Search | [
"agentic RAG",
"AI"
] | 8 | edge |
https://app.daily.dev/posts/what-is-vector-search-complete-guide-2025--o731gyy1f | What is vector search? Complete guide [2025] | RAG & Vector Search | [
"vector search",
"guide"
] | 9 | dailydev |
https://app.daily.dev/posts/why-rag-helps--md3uvkvce | Why RAG Helps? | daily.dev | RAG & Vector Search | [
"rag",
"vector search"
] | 8 | edge |
https://www.linkedin.com/feed/update/urn:li:activity:7391187439882715136?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7391187439882715136%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Y Combinator — Moss (YC F25) is the real-time semantic search for conversational AI.
If you’ve | RAG & Vector Search | [
"semantic search",
"conversational AI",
"real-time"
] | 8 | linkedin |
https://www.linkedin.com/feed/update/urn:li:activity:7432997064583729152?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7432997064583729152%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29 | Zhengyang Su — Excited to share our new paper — Vectorizing the Trie: Efficient Constrained Dec | RAG & Vector Search | [
"vectorization",
"research"
] | 8 | linkedin |
https://app.daily.dev/posts/joacziff4 | any4ai/AnyCrawl: AnyCrawl 🚀: A Node.js/TypeScript crawler that turns websites into LLM-ready data and extracts structured SERP results from Google/Bing/Baidu/etc. Native multi-threading for bulk proce | RAG & Vector Search | [
"Node.js",
"Crawling"
] | 8 | dailydev |
https://github.com/harvard-lil/warc-gpt | harvard-lil/warc-gpt: WARC + AI - Experimental Retrieval Augmented Generation Pipeline for Web Archive Collections. | RAG & Vector Search | [
"retrieval",
"augmented",
"generation"
] | 8 | raindrop |
https://huggingface.co/collections/perplexity-ai/pplx-embed | pplx-embed - a perplexity-ai Collection | RAG & Vector Search | [
"embedding",
"perplexity-ai",
"collection"
] | 7 | edge |
https://prompts.chat/ | prompts.chat — awesome AI prompts | RAG & Vector Search | [
"prompts",
"ai"
] | 7 | edge |
https://github.com/raphaelmansuy/edgequake | raphaelmansuy/edgequake: High-performance GraphRAG inspired from LightRag written in Rust | RAG & Vector Search | [
"GraphRAG",
"Rust"
] | 8 | edge |
https://github.com/vectara/hallucination-leaderboard | vectara/hallucination-leaderboard: Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents | RAG & Vector Search | [
"hallucination",
"llm",
"leaderboard"
] | 8 | edge |
https://github.com/yichuan-w/LEANN | yichuan-w/LEANN: [MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. | RAG & Vector Search | [
"rag",
"storage",
"application"
] | 9 | edge |
https://gettheflat.com/ | Get The Flat - Effortless apartment hunting | Real Estate | [
"apartment hunting"
] | 5 | edge |
https://movly.de/ | Movly - Find Your Berlin Apartment Faster | Real Estate | [
"apartment hunting",
"Berlin"
] | 5 | edge |
https://rentola.de/mieten?location=berlin | 10000 Immobilien in Berlin mieten von privat – Rentola | Real_Estate | [
"real estate",
"Berlin",
"rentals"
] | 5 | edge |
https://immosurf.de/en | Housing and rentals in the Germany – rent houses, apartments and other real estate properties at Immosurf | Real_Estate | [
"housing",
"rentals",
"Germany"
] | 5 | edge |
https://www.wg-gesucht.de/nachricht.html?nachrichten-id=572570842 | Nachrichten von :: WG-Gesucht.de :: | Real_Estate | [
"news",
"WG-Gesucht",
"housing"
] | 3 | edge |
https://www.habyt.com/de/room/germany/berlin | Private rooms and apartments for rent in Berlin | Real_Estate | [
"rentals",
"Berlin",
"housing"
] | 5 | edge |
https://housinganywhere.com/de/s/Berlin--Deutschland?utm_source=wg-gesucht&utm_medium=affiliate&affiliate_partner_id=32473&utm_campaign=top-placement&utm_content=berlin&bedroomCount=2,3,4%2B&categories=apartment-for-rent&utm_term=website | Unterkünfte mieten in Berlin, Deutschland | HousingAnywhere | Real_Estate | [
"housing",
"Berlin",
"rentals"
] | 5 | edge |
https://www.gesobau.de/mieten/wohnungssuche/ | Wohnungssuche | GESOBAU | Real_Estate | [
"housing",
"GESOBAU",
"apartment search"
] | 5 | edge |
https://www.gesobau.de/mieten/wohnungssuche/?tx_solr%5Bfilter%5D%5B0%5D=region%3APankow#submit-facets | Wohnungssuche | GESOBAU | Real_Estate | [
"housing",
"GESOBAU",
"apartment search"
] | 5 | edge |
https://arxiv.org/abs/2503.17794 | [2503.17794] Progressive Prompt Detailing for Improved Alignment in Text-to-Image Generative Models | Research | [
"prompt detailing",
"text-to-image"
] | 9 | edge |
https://www.marktechpost.com/2023/05/30/a-new-ai-research-from-google-declares-the-completion-of-the-first-human-pangenome-reference/ | A New AI Research From Google Declares The Completion of The First Human Pangenome Reference | Research & Articles | [
"pangenome",
"reference"
] | 7 | raindrop |
https://www.marktechpost.com/2023/06/22/a-new-ai-research-from-the-university-of-maryland-college-park-develops-an-ai-system-that-can-reconstruct-3d-scenes-from-reflections-in-the-human-eye/ | A New AI Research from the University of Maryland, College Park Develops an AI System that can Reconstruct 3D Scenes from Reflections in the Human Eye | Research & Articles | [
"3D",
"reconstruction"
] | 7 | raindrop |
https://www.deepmind.com/blog/alphadev-discovers-faster-sorting-algorithms | AlphaDev discovers faster sorting algorithms | Research & Articles | [
"sorting",
"algorithms"
] | 8 | raindrop |
https://www.marktechpost.com/2023/06/07/this-ai-paper-proposes-a-self-supervised-music-understanding-model-called-mert-that-attains-overall-sota-performance-on-14-mir-tasks/ | This AI Paper Proposes A Self-Supervised Music Understanding Model Called MERT That Attains Overall SOTA Performance on 14 MIR Tasks | Research & Articles | [
"music",
"model"
] | 7 | raindrop |
https://www.balubor.com/10-best-practices-to-secure-your-aws-environment | 10 best practices to secure your AWS environment | Security | [
"AWS",
"best practices"
] | 8 | raindrop |
https://terranovasecurity.com/top-examples-of-phishing-emails/ | 19 Examples of Common Phishing Emails | Terranova Security | Security | [
"phishing",
"examples"
] | 5 | raindrop |
https://thehackernews.com/2022/09/6-top-api-security-risks-favored.html | 6 Top API Security Risks! Favored Targets for Attackers If Left Unmanaged | Security | [
"API",
"security",
"risks"
] | 8 | raindrop |
https://console.algora.io/home/projects | Algora | Security | [
"algora",
"projects"
] | 6 | raindrop |
https://blog.devgenius.io/brute-force-attack-can-you-guess-the-password-c7945d6973ae | Brute-force attack: Can you guess the password? | Security | [
"brute-force",
"attack"
] | 6 | raindrop |
https://thehackernews.com/2022/06/chinese-luoyu-hackers-using-man-on-side.html | Chinese LuoYu Hackers Using Man-on-the-Side Attacks to Deploy WinDealer Backdoor | Security | [
"hackers",
"attack"
] | 6 | raindrop |
https://www.producthunt.com/posts/codeshield | CodeShield - Detect and fix IAM privilege escalations in your AWS account | Product Hunt | Security | [
"AWS",
"IAM",
"security"
] | 7 | raindrop |
https://dev.to/scofieldidehen/hackers-tools-must-have-tools-for-every-ethical-hacker-34k4 | Hackers Tools: Must-Have Tools for Every Ethical Hacker | Security | [
"ethical hacking",
"tools"
] | 6 | raindrop |
https://goteleport.com/blog/how-passwordless-works/?utm_campaign=pwdless&utm_medium=partner&utm_source=Pointer | How Passwordless Works | Security | [
"passwordless",
"authentication"
] | 6 | raindrop |
https://systemweakness.com/how-to-hack-any-website-c08daec978f6 | How To Hack Any Website | Security | [
"hacking",
"website"
] | 5 | raindrop |
https://systemweakness.com/how-attackers-can-bypass-2fa-66800ff5094b | How attackers can bypass 2FA | Security | [
"2FA",
"bypass",
"attack"
] | 7 | raindrop |
https://dzone.com/articles/how-to-find-a-vulnerability-in-a-website | How to Find a Vulnerability in a Website - DZone Security | Security | [
"vulnerability",
"website"
] | 6 | raindrop |
https://www.producthunt.com/posts/rabona-tunnel?ref=dailydev | Rabona Tunnel - Expose Your Localhost Securely | Security | [
"localhost",
"tunnel"
] | 6 | raindrop |
https://infosecwriteups.com/sql-injection-in-the-http-custom-header-fd117ba1435e | SQL Injection in The HTTP Custom Header | Security | [
"SQL injection",
"HTTP"
] | 7 | raindrop |
https://www.codeguru.com/tools/open-source-security-testing-tools/ | Top 10 Security Testing Tools for Developers | CodeGuru.com | Security | [
"security",
"testing tools"
] | 7 | raindrop |
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