Dan McAteer (@daniel_mac8)

LongMemEval에서 약 99% 결과를 보이는 Agentic Search와 Memory Retrieval 방식이 소개됐다. 벡터DB나 임베딩 트릭이 아니라, 특화된 병렬 에이전트를 활용해 에이전트 메모리 문제를 해결할 수 있다는 주장으로, 검증되면 중요한 기술적 진전이다.

https://x.com/daniel_mac8/status/2035735706052493465

#agenticsearch #memoryretrieval #aimemory #longmemeval #agents

Dan McAteer (@daniel_mac8) on X

If this Agentic Search and Memory Retrieval result of ~99% on LongMemEval proves legit—we find out in a couple weeks—AI agent memory is solved (within context limits). It’s not some special embedding/vector DB trick, it’s throwing specialized parallel agents at the problem. The

X (formerly Twitter)

What if data could answer questions in natural language?

Agentic search in #OpenSearch delivers relevant results and accurate queries, showing how conversational search can simplify complex information retrieval across both structured and unstructured data. https://opensearch.org/blog/evaluating-agentic-search-in-opensearch/

#AgenticSearch #AgenticAI

📰 RAGで足りなくなったので Agentic Search を調べてみた (👍 37)

🇬🇧 When traditional RAG techniques fail to find the right data despite chunking/reranking tweaks, Agentic Search offers a smarter alternative
🇰🇷 청킹/리랭킹 조정에도 원하는 데이터를 못 찾는 전통적 RAG의 한계를 넘어서는 Agentic Search 탐구

🔗 https://zenn.dev/edash_tech_blog/articles/02582c4f70d0fb

#RAG #AgenticSearch #AI #Zenn

RAGで足りなくなったので Agentic Search を調べてみた

Zenn

📰 RAGで足りなくなったので Agentic Search を調べてみた (👍 31)

🇬🇧 RAG wasn't enough for company chatbot despite tuning. Explored Agentic Search as the next evolution for better retrieval accuracy.
🇰🇷 RAG 튜닝해도 정확도 부족. 더 나은 검색 정확도를 위해 Agentic Search 탐색.

🔗 https://zenn.dev/edash_tech_blog/articles/02582c4f70d0fb

#RAG #AgenticSearch #LLM #Zenn

RAGで足りなくなったので Agentic Search を調べてみた

Zenn

Nimble just launched its Agentic Search Platform, boasting 99% accuracy and handling 3.2 M interactions. The autonomous‑agent engine reshapes enterprise AI, delivering lightning‑fast data retrieval across web search and internal systems. Could this be the next leap in search infrastructure? Dive into the details. #AgenticSearch #EnterpriseAI #AutonomousAgents #SearchInfrastructure

🔗 https://aidailypost.com/news/nimble-unveils-agentic-search-platform-99-accuracy-32m-interactions

Why write complex queries when you can have natural conversations with your data, and have #AI agents orchestrate the right tools to get you answers?

With @OpenSearchProject 3.4, we introduced Agentic Search, which does exactly that!
https://opensearch.org/blog/opensearch-3-4s-agentic-search-in-opensearch-dashboards-hands-on-use-cases-and-examples/

#OpenSearch #opensearchambassador #agenticsearch

#AI #AIsearch #AgenticSearch #TechDiscuss

Bạn đang sử dụng dự án tìm kiếm agent nào? So sánh chi phí API tìm kiếm (Perplexity, OpenRouter, Serper, Brave) vs chi phí token AI! Dự án của bạn khác gì Perplexity/ChatGPT? Thảo luận sôi nổi về AI search stack tại đây.

#CôngNghệAI #TìmKiếmĐộcLập #API #SideProject

https://www.reddit.com/r/SideProject/comments/1poh29o/share_your_agentic_search_projects/

🚀 New Blog Alert!

With OpenSearch 3.3, we’re thrilled to introduce Agentic Search – a game-changer in how you interact with your data! 📊✨

Agentic Search lets you explore your data using natural language, no more manually writing complex DSL queries. Just ask, and your data responds.

👉 https://opensearch.org/blog/introducing-agentic-search-in-opensearch-transforming-data-interaction-through-natural-language/

#OpenSearch #AgenticAI #AgenticSearch 🔍🤖