#vectorembedding — Public Fediverse posts

Tìm hiểu kiến trúc LLM cục bộ kết hợp **MSSQL** (dữ liệu cấu trúc) và **Vector DB** (dữ liệu phi cấu trúc) với giao diện ChatGPT! Hệ thống kết hợp **RAG pipeline** để xử lý truy vấn:
- **Tạo câu lệnh SQL từ ngôn ngữ tự nhiên** cho MSSQL
- **Tìm kiếm ngữ nghĩa** trên dữ liệu tài liệu, email, chính sách qua vector database (FAISS/Qdrant…).
Đồng thời quản lý quyền, dữ liệu an toàn trong nội mạng.

#AI #MSSQL #VectorDB #RAG #Chatbot #DữLiệuCấuTrúc #VectorEmbedding #HệThốngLLM #KiếnTrúcPhầnMề

28M Hacker News comments as vector embedding search dataset

https://clickhouse.com/docs/getting-started/example-datasets/hackernews-vector-search-dataset

#HackerNews #HackerNews #Comments #VectorEmbedding #Dataset #Search #Dataset #DataScience

28M Hacker News comments as vector embedding search dataset

https://clickhouse.com/docs/getting-started/example-datasets/hackernews-vector-search-dataset

#HackerNews #HackerNews #Comments #VectorEmbedding #Dataset #Search #Dataset #DataScience

28M Hacker News comments as vector embedding search dataset

https://clickhouse.com/docs/getting-started/example-datasets/hackernews-vector-search-dataset

#HackerNews #HackerNews #Comments #VectorEmbedding #Dataset #Search #Dataset #DataScience

28M Hacker News comments as vector embedding search dataset

https://clickhouse.com/docs/getting-started/example-datasets/hackernews-vector-search-dataset

#HackerNews #HackerNews #Comments #VectorEmbedding #Dataset #Search #Dataset #DataScience

28M Hacker News comments as vector embedding search dataset

https://clickhouse.com/docs/getting-started/example-datasets/hackernews-vector-search-dataset

#HackerNews #HackerNews #Comments #VectorEmbedding #Dataset #Search #Dataset #DataScience

Một nhà phát triển đã xây dựng hệ thống embedding vector cho Obsidian Notes bằng Go. Hệ thống sử dụng cây Merkle để phát hiện thay đổi tệp và đồng bộ embedding với Pinecone. Có thể dùng với LLM để cung cấp ngữ cảnh trò chuyện trực tiếp từ ghi chú.

#Obsidian #LLM #VectorEmbedding #AI #TựChủ #CôngNghệ #AI #MachineLearning

https://www.reddit.com/r/selfhosted/comments/1oueuin/built_a_vector_embedding_system_for_obsidian_notes/

Supershort Vector Embedding Explained for Beginners in AI.
https://youtube.com/shorts/8sjO-du6nXw
#VectorEmbedding #MachineLearning #AI #DataScience #BeginnersGuide

Supershort Vector Embedding Explained for Beginners in AI.
https://youtube.com/shorts/8sjO-du6nXw
#VectorEmbedding #MachineLearning #AI #DataScience #BeginnersGuide

Supershort Vector Embedding Explained for Beginners in AI.
https://youtube.com/shorts/8sjO-du6nXw
#VectorEmbedding #MachineLearning #AI #DataScience #BeginnersGuide

Supershort Vector Embedding Explained for Beginners in AI.
https://youtube.com/shorts/8sjO-du6nXw
#VectorEmbedding #MachineLearning #AI #DataScience #BeginnersGuide

Supershort Vector Embedding Explained for Beginners in AI.
https://youtube.com/shorts/8sjO-du6nXw
#VectorEmbedding #MachineLearning #AI #DataScience #BeginnersGuide

What We Learned from a Year of Building with LLMs (Part I) – O’Reilly

A discussion of practical aspects of building products with large language models. Emphasizes the importance of effective prompting, retrieval-augmented generation (RAG), and structured input/output. Best practices, common pitfalls, and strategies for evaluation and monitoring are suggested.

#PromptEngineering #RAG #LLM#ProductDevelopment #AI #ArtificialIntelligence
#VectorEmbedding

https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-i/?utm_source=tldrnewsletter

What We Learned from a Year of Building with LLMs (Part I) – O’Reilly

A discussion of practical aspects of building products with large language models. Emphasizes the importance of effective prompting, retrieval-augmented generation (RAG), and structured input/output. Best practices, common pitfalls, and strategies for evaluation and monitoring are suggested.

#PromptEngineering #RAG #LLM#ProductDevelopment #AI #ArtificialIntelligence
#VectorEmbedding

https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-i/?utm_source=tldrnewsletter

What We Learned from a Year of Building with LLMs (Part I) – O’Reilly

A discussion of practical aspects of building products with large language models. Emphasizes the importance of effective prompting, retrieval-augmented generation (RAG), and structured input/output. Best practices, common pitfalls, and strategies for evaluation and monitoring are suggested.

#PromptEngineering #RAG #LLM#ProductDevelopment #AI #ArtificialIntelligence
#VectorEmbedding

https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-i/?utm_source=tldrnewsletter

What We Learned from a Year of Building with LLMs (Part I) – O’Reilly

A discussion of practical aspects of building products with large language models. Emphasizes the importance of effective prompting, retrieval-augmented generation (RAG), and structured input/output. Best practices, common pitfalls, and strategies for evaluation and monitoring are suggested.

#PromptEngineering #RAG #LLM#ProductDevelopment #AI #ArtificialIntelligence
#VectorEmbedding

https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-i/?utm_source=tldrnewsletter

What We Learned from a Year of Building with LLMs (Part I) – O’Reilly

A discussion of practical aspects of building products with large language models. Emphasizes the importance of effective prompting, retrieval-augmented generation (RAG), and structured input/output. Best practices, common pitfalls, and strategies for evaluation and monitoring are suggested.

#PromptEngineering #RAG #LLM#ProductDevelopment #AI #ArtificialIntelligence
#VectorEmbedding

https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-i/?utm_source=tldrnewsletter

The Cloaked AI beta is live. 🚀 And if you sign up today, you can get access to it, too. #infosec #ai #vectorembedding #datasecurity https://ironcorelabs.com/products/cloaked-ai/

The Cloaked AI beta is live. 🚀 And if you sign up today, you can get access to it, too. #infosec #ai #vectorembedding #datasecurity https://ironcorelabs.com/products/cloaked-ai/

The Cloaked AI beta is live. 🚀 And if you sign up today, you can get access to it, too. #infosec #ai #vectorembedding #datasecurity https://ironcorelabs.com/products/cloaked-ai/

The Cloaked AI beta is live. 🚀 And if you sign up today, you can get access to it, too. #infosec #ai #vectorembedding #datasecurity https://ironcorelabs.com/products/cloaked-ai/