Databases for #AI: Should you use a vector #database? 🤔

This article compares #opensource projects competing to handle modern #AI workloads, including #machinelearning and #LLMs. Discover which databases best meet today’s AI challenges: https://lpi.org/636x

(Disclaimer: This post contains an AI-generated image.)

#AndyOram #AI #vectordatabase #machinelearning #LLMs #SQL #opensource #hybridsearch #generativeAI #MariaDB #MongoDB #Milvus #Qdrant #Weaviate #Vespa #ChromaDB #LanceDB

LanceDB và Kiln vừa ra mắt hướng dẫn tối ưu hệ thống RAG, giúp bạn tinh chỉnh cấu hình hiệu quả chỉ trong vài giờ bằng cách tập trung vào đánh giá (evals) và lặp lại. Phương pháp này cải thiện chất lượng truy xuất và tạo sinh, rút ngắn thời gian phát triển.
#RAG #AI #LLM #MachineLearning #LanceDB #Kiln #TốiƯuAI #HệThốngRAG #HọcMáy

https://www.reddit.com/r/LocalLLaMA/comments/1pg043n/how_to_tune_a_rag_for_your_use_case_lancedb_kiln/

구글 EmbeddingGemma로 완전 로컬 AI 문서 검색 시스템 만들기

Google의 새로운 EmbeddingGemma 모델로 인터넷 연결 없이 완전 로컬에서 동작하는 AI 문서 검색 시스템을 구축하는 실용적인 가이드입니다. 프라이버시를 중시하는 개발자와 기업을 위한 단계별 튜토리얼을 제공합니다.

https://aisparkup.com/posts/4809

🎉 Huge thanks to the LanceDB CEO / cofounder Chang She for delivering an incredible talk on "Search, Retrieval, Training, and Analytics with Modern AI Data Lake" at #DataAndAIEngineering #SanFrancisco #meetup !

📹 Great news - the recording is now available! Check it out if you missed it or want to revisit the key concepts. 👇

https://watch.softinio.com/w/mVkLgtcQw8Qv5vA4v8SDHB

#DataEngineering #AIEngineering #SanFrancisco #LanceDB #DataLake #MachineLearning #VectorDB #Database #AI #ArtificialIntelligence

​Search, Retrieval, Training, and Analytics with Modern AI Data Lake By Chang She

PeerTube

Now, that's a subtle API change: `limit(None)` previously meant "no limit", now it means "default limit", which is 10, lol.

#lancedb

🔧 #phidata Framework: Build Intelligent AI Systems

• 🧠 Build #AI Agents with memory, knowledge, tools & reasoning capabilities. Supports #OpenAI, #Ollama, and #Grok models

• 💻 Create specialized agents:
- #WebSearch with DuckDuckGo integration
- #Finance analysis with YFinance tools
- #Python code execution
- #SQL data analysis with DuckDB

• 🎯 Features:
- Built-in monitoring & debugging
- Local #SQLite storage for privacy
- RAG capabilities with #LanceDB
- Interactive UI playground
- Team collaboration support

• 🛠️ Easy setup with #pip install and simple #Python configuration

• 📊 Includes demo agents and comprehensive documentation

👉 Learn more: https://docs.phidata.com
📺 https://youtu.be/SgtJVSkDGZw?si=eDjiuObZEXE5Q52H

Agents - Phidata

**Agents are autonomous programs that solve problems using language models.**

Phidata

I enjoyed talking with Weston about the basics of vector databases, their significance, the problems they solve, and why we created Lance. This new open-source file format powers @lancedb
#vectordb #ai #parquet #lancedb

https://youtu.be/8RG32AmR5xA

Ask the Experts: What is a Vector Database?

YouTube

🥳 New episode of Practical AI!

Prashanth Rao mentioned #LanceDB as a stand out amongst the many vector DB options in episode #234 🔝

Now, Chang She (co-founder and CEO) joins us to talk through the specifics of their open source, on-disk, embedded vector search offering 🔍

#ai #vector #databases #machinelearning #opensource

🎧 https://practicalai.fm/250

Open source, on-disk vector search with LanceDB featuring Chang She, CEO and co-founder of LanceDB (Practical AI #250)

Prashanth Rao mentioned LanceDB as a stand out amongst the many vector DB options in episode #234. Now, Chang She (co-founder and CEO of LanceDB) joins us to talk through the specifics of their open source, on-disk, embedded vector search offering. We talk about how their unique columnar database structure enables serv...

Changelog