🚀 Dừng giả vờ hiểu thuật ngữ AI! Ở đây là đường dẫn hoàn chỉnh từ học tập đến hệ thống tự động: Học (token → embedding → attention), Lưu (CSDL vector), Tìm (tìm kiếm ngữ nghĩa), Ứng dụng (RAG + Prompt), Hành động (MCP + Agent). Tránh bị lạc trong chuỗi AI bằng bản đồ 4 giai đoạn rõ ràng.
#AIBuzzwords #Developers #AIExplained #VietnamAI #MachineLearning #NLP #VectorDB #RAG #AgenticAI #CodeWithAI #UnderstandingAI #TechVietNam
https://dev.to/devvarsha/how-developers-can-stop-pretending-to-unde
Một nhà phát triển đã tạo ra MemVault, một API bộ nhớ mã nguồn mở để đơn giản hóa việc quản lý trí nhớ dài hạn cho các tác nhân AI. Nó giúp loại bỏ sự phức tạp khi thiết lập các cơ sở dữ liệu vector, tự động xử lý lưu trữ và truy xuất ngữ cảnh dựa trên ngữ nghĩa, độ mới và tầm quan trọng. Giờ đây, việc thêm bộ nhớ cho AI đã dễ dàng hơn nhiều!
#MemVault #OpenSource #AITools #VectorDB #AI #CôngCụAI #MãNguồnMở
https://www.reddit.com/r/LocalLLaMA/comments/1p72dq0/i_built_an_opensource_memory_api_be
Một lập trình viên đã tạo ra Memory API mã nguồn mở, giúp đơn giản hóa việc triển khai dự án AI bằng cách loại bỏ sự phiền phức khi phải cài đặt các Vector DB liên tục.
#AI #OpenSource #MemoryAPI #VectorDB #DeveloperTools #TríTuệNhânTạo #MãNguồnMở #CôngCụLậpTrình
https://www.reddit.com/r/SaaS/comments/1p727zl/i_built_an_opensource_memory_api_because_setting/
Một nhà phát triển đã tạo ra Memory API mã nguồn mở, giúp loại bỏ phiền toái khi phải thiết lập cơ sở dữ liệu vector (vector DBs) cho từng dự án AI. Giải pháp này giúp đơn giản hóa đáng kể quy trình phát triển AI.
#AI #OpenSource #MemoryAPI #VectorDB #DevTools #LậpTrình #MãNguồnMở
https://www.reddit.com/r/SaaS/comments/1p727zl/i_built_an_opensource_memory_api_because_setting/
Wondering how it performs in real-world scenarios? Explore how OpenSearch vector search efficiently handles large-scale queries with impressive speed and accuracy.
See it in action.
👉 https://opensearch.org/platform/vector-engine/
⚡️ Power smarter search with OpenSearch Vector Engine — your open-source vector database for real-time apps.
From 🔍 semantic search to 🤖 generative AI and 📈 predictive analytics, it's built for scale and speed.
👉 Explore use cases: https://opensearch.org/platform/vector-engine/#usecases
🔧 Get started here: https://docs.opensearch.org/latest/vector-search/getting-started/index/
🎯 My first Substack is live: "Understanding Vector Databases"
Traditional databases match keywords.
Vector databases understand meaning.
Just published a beginner-friendly guide where I:
- Explain vectors using simple analogies
- Show how they power Netflix, Spotify, and ChatGPT
- Build a semantic search app from scratch
- Explore applications beyond ML
The best part? We code together. No prerequisites except curiosity.
What would you build if your database could understand context, not just keywords?
Full article with code: https://open.substack.com/pub/devsimsek/p/understanding-vector-databases-your
#VectorDB #MachineLearning #Tutorial #Python #TechCommunity
Search is moving towards semantic understanding.
With vector technology, OpenSearch is laying the foundation for AI-driven applications that truly ‘get’ user intent.
🚀 Be part of this journey: https://opensearch.org/platform/vector-engine/
Snowflake just unveiled an AI engine that goes beyond traditional retrieval‑augmented generation. It can query, combine and aggregate insights from thousands of unstructured docs in seconds, turning your data warehouse into a live knowledge hub. Curious how this reshapes analytics? Read on. #SnowflakeAI #RAG #VectorDB #DataWarehouse
🔗 https://aidailypost.com/news/snowflake-adds-ai-that-surpasses-rag-querying-aggregating-thousands
Where do you see the biggest impact of vector search?
Share your thoughts below!
Learn more: https://opensearch.org/platform/vector-engine/
🖥️Want to see how vector search works in practice?
OpenSearch makes it simple to ingest embeddings and query with ease. Developers can get hands-on in minutes.
🔗 Start exploring: https://opensearch.org/platform/vector-engine/
Not all vector databases are built the same.
OpenSearch brings:
🤝 Open source freedom
⚡ Memory-efficient ANN search
📈 Seamless scalability for real-world data
Smarter search, built by developers for developers.
👉 Dive in: https://opensearch.org/platform/vector-engine/
Imagine searching with a full decription like ‘red shoes for running on wet trails' - instead of just keywords...
Traditional search may miss the mark. Vector search in OpenSearch understands context, delivering smarter, more relevant results.
💡 Try OpenSearch vector engine and see the difference: https://opensearch.org/platform/vector-engine/
🔍Search is evolving. With the rise of AI, traditional keyword search isn’t enough anymore. Enter Vector Search – powering recommendations, semantic understanding, and lightning-fast retrieval.
OpenSearch is making this accessible to everyone.
👉 Discover the Vector Engine: https://opensearch.org/platform/vector-engine/
The new Wikidata Embedding Project launches in just over one week - on 1 October. Transforming structured knowledge into a vector format AI can understand, it will offer verifiable AI grounded in real data for global use
🧠 Day 4 – Retrieval-Augmented Generation (RAG) Combine LLMs with your own data using vector search! Ideal for PDFs, docs, Notion, etc.📁 LLMs that know your content.
#LangChain #RAG #LLM #AI #Python #Retrieval #LangChainCheatsheet #VectorDB #GenerativeAI
When a support rep pasted the company policy into chat and still got a wrong answer, I stopped and ran tests. 🧩🤖 The result: Vectorize 2.0’s real-time sync, PDF extractor and retrieval traces change where errors start — and how fast you find them. Read a practical 72-hour POC, evaluation checks and the exact queries to run. • #RAG • #VectorDB • #AIOps
https://medium.com/@rogt.x1997/what-if-your-knowledge-base-could-argue-back-inside-vectorize-2-0s-retrieval-traces-faa070a8261a
I'm excited to be speaking at AI_dev Open Source GenAI & ML Summit Europe next month! 🇪🇺
Arranged by @linuxfoundation and LF AI & Data Foundation right after #OSSummit Europe, it offers a space for developers interested in delving into #opensource #GenAI and #MachineLearning.
Which makes it the perfect place to share about the @OpenSearchProject
👉 https://sched.co/25Tvu
If you're around Amsterdam at #AIDev, #OSSummit or otherwise, happy to chat. 🇳🇱
#opensource #GenAI #vectorDB #opensearch
What if you need both Lexical and Semantic search?
No need for 2 data stores, data duplication and clumsy result set relevance merge.
The #OpenSearch Project gives you both in one open source!
https://www.linkedin.com/feed/update/urn:li:share:7350414216815591424
#vectordb #genAI #semantic #search #vectorSearch @OpenSearchProject
