#vectordatabase

2025-12-10

Rephole - Cỗ máy tìm kiếm mã nguồn semantics qua REST API, hỗ trợ hơn 20 ngôn ngữ. Chỉ cần nhập câu hỏi tự nhiên như "Tài khoản xác thực như thế nào?" để nhận đoạn mã phù hợp. Tự triển khai nhanh với Docker.
#MáyHọc #PhátTriểnPhầnMềm #SemanticSearch #DevTools #MãNguồnMở #Rephole #AI #TựĐộngHóa #PhátTriểnWeb #VectorDatabase

reddit.com/r/opensource/commen

🚀 ArcadeDB v25.11.1 is live! We've integrated the JVector engine for high-performance vector search, critical SQL fixes, smarter indexing for embedded lists, and improved gRPC serialization. github.com/ArcadeData/a... #ArcadeDB #OpenSource #GraphDB #VectorDatabase #NoSQL

Release 25.11.1 · ArcadeData/a...

2025-11-26

Công cụ mới Clamp mang đến khả năng kiểm soát phiên bản giống Git cho các CSDL vector RAG (hiện hỗ trợ Qdrant). Giúp người dùng dễ dàng quay lại các phiên bản trước của cơ sở tri thức RAG mà không mất dữ liệu. Khôi phục tức thì bằng cách chuyển đổi cờ hoạt động. Hỗ trợ CLI, API Python và SQLite cục bộ. Đang trong giai đoạn alpha, cần phản hồi!
#Clamp #VectorDatabase #RAG #VersionControl #AI #TechNews #CôngNghệ #TríTuệNhânTạo #CSDLVector #KiểmSoátPhiênBản

reddit.com/r/LocalLLaMA/comm

2025-11-24

Có thực sự cần một cơ sở dữ liệu vector? Cuộc đua vàng vector đang diễn ra Nhưng liệu nó có thực sự cần thiết? #VectorDatabase #CơSởDữLiệuVector #TríTuệNhânTạo #AI # MachineLearning #HọcMáy #DữLiệu #CôngNghệ #Tech #Technology

riferrei.com/to-vector-or-not-

Orbifold Consultingorbifold
2025-11-12

LEANN is an innovative vector database that can index and search through millions of documents while using 97% less storage 👀 than traditional solutions without accuracy loss.

LEANN achieves this through graph-based selective recomputation with high-degree preserving pruning, computing embeddings on-demand instead of storing them all.

Anyone can confirm the magic, is it really as good as, Qdrant and co?

github.com/yichuan-w/LEANN

Quirino Scaramastrapicchio74@hachyderm.io
2025-10-11

I Vector Database sono il vero motore dietro i sistemi AI più potenti! 🚀 Non solo storage, ma il cuore pulsante dell'intelligenza artificiale che rende possibili ricerche semantiche, raccomandazioni personalizzate e tanto altro. Un futuro che già c'è! #VectorDatabase #AI #IntelligenzaArtificiale #Tech

MicroStreammicrostream
2025-10-07

Join @MarkusKett at . Tue, Oct 7 | 3–3:20 PM EDT, Stage 04 | Sandbox
'Sustainable & Cheap at Scale' reg.tools.ibm.com/flow/ibm/tec

Learn how Project Cyrock.AI cuts compute, energy & costs by up to 80%

EclipseStoreeclipsestore
2025-10-07

Join @MarkusKett at . Tue, Oct 7 | 3–3:20 PM EDT, Stage 04 | Sandbox
'Sustainable & Cheap at Scale' reg.tools.ibm.com/flow/ibm/tec

Learn how Project Cyrock.AI cuts compute, energy & costs by up to 80%

Hacker Newsh4ckernews
2025-08-23
Orbifold Consultingorbifold
2025-07-18

Amazon S3 now supports vectors, reducing the cost of uploading, storing, and querying vectors by up to 90%. What's the catch, anyone? aws.amazon.com/s3/features/vec

Masoud Masoumimasoudmim
2025-06-22

I decided to give it a try and write a simple RAG-based documentation-to-chatbot procedure as an example for reviewing the procedure and hopefully providing a quick and interesting way of learning RAG.

This post walks you through the development of a RAG system from developing a vector database to creating a simple application built on Ollama, Milvus, and Streamlit.

See the post here: masoudmim.github.io/blog/2025/


general procedure to use a text file given by the user and then developing a Streamlit RAG-application via Milvus and Ollama running locally.
2025-05-21

Building a chat application over your own data often involves RAG and a vector database. Vector databases store and allow efficient searching of data embeddings. #VectorDatabase #ChatWithData

Gunther Coxgunthercox
2025-05-07

A recent study suggests that stressful topics reduce the effectiveness of LLMs, also I'm experimenting with vector databases

blog.salvius.org/2025/03/the-r

Jesus Castagnetto 🇵🇪jmcastagnetto
2025-05-03
Waseemiamwaseem
2025-04-12

Postgres is actually all you need. No need to build a complex setup of different databases.

I use postgres for all data storage requirements. I've been using it as a vector store too. It's been holding up very nicely.

Phil Nashphilnash
2025-04-09

Took a little step outside the comfort zone today and published a blog post in Python.

Here's several ways you can create vector embeddings for all your RAG needs in Python: datastax.com/blog/how-to-creat

2025-04-08

Discover how multi-model retrieval augmented generation (#RAG) techniques are revolutionizing AI by integrating text, images, and audio for deeper contextual understanding.

Learn more: bit.ly/43Ebf8S

#InfoQ #AI #LLMs #Database #VectorDatabase

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