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Trying to set up semantic search for your #PostgreSQL database? Learn how to do things like...

👉 Chunk documents into semantically meaningful pieces
👉 Embed vectors for each chunk enabling similarity search
👉 Automatically synchronize when documents change
👉 Have all running inside PostgreSQL with no external services

...all in "Building a #RAG Server with PostgreSQL - Part 2: Chunking and Embeddings": 🔗 https://www.pgedge.com/blog/building-a-rag-server-with-postgresql-part-2-chunking-and-embeddings

#programming #devops #postgres #vector #vectordatabase #pgvector

Puntata speciale del Buongiornerrimo perché volevo in qualche modo festeggiare un traguardino: 3000 iscritti su YouTube 🎉

Ho pensato di provare a spiegare in podcast che cosa sono i vector database, o database vettoriali italicamente, perché mi sembrava una sfida interessante per me e credo una cosa simpatica per voi gentilissimo pubblico, che magari in 20 minuti vi portate a casa qualche conoscenza in più su questo tema che credo sia super importante conoscere oggi, nel nostro mercato.

Quindi, mettetevi comodi, che bisogna stare un pochino attenti, magari salvatela e riascoltatela più volte se vi sembra che dica cose sensate, se vi sembra che dica delle robe sbagliate fatemelo notare, ma con garbo per favore che mi sono impegnato per studiare sta roba e sono agli inizi 😅

Bene, grazie a tutti, spero vi piaccia, fatemi sapere, alla prossima, ciao!

https://youtu.be/e03bBeE5jZY

#vectordatabase #ai #embedding #rag #weaviate #opensource

In the final post of the "Building a RAG Server with PostgreSQL" series, learn how to deploy the open-source pgEdge RAG Server for a simple HTTP API you can use to ask questions about your content, and get answers based on your own documentation.

Check it out 👉 https://www.pgedge.com/blog/building-a-rag-server-with-postgresql-part-3-deploying-your-rag-api

Experiment with the RAG Server on #GitHub: https://github.com/pgEdge/pgedge-rag-server

Want to see more of this kind of content? Let us know 💬

#programming #ai #llm #vectordatabase #pgvector #vector #postgresql #postgres #data

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

https://www.reddit.com/r/opensource/comments/1pj0wfq/rephole_semantic_codesearch_for_your_repos_via/

🚀 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...

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

https://www.reddit.com/r/LocalLLaMA/comm

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

https://riferrei.com/to-vector-or-not-to-vector-that-is-the-question/

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?

https://github.com/yichuan-w/LEANN #RAG #VectorDatabase

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

Join @MarkusKett at #IBMTechXchange. Tue, Oct 7 | 3–3:20 PM EDT, Stage 04 | Sandbox
'Sustainable & Cheap #GenAI at Scale' https://reg.tools.ibm.com/flow/ibm/techxchange25/sessioncatalog/page/sessioncatalog/session/1758545411372001vGYt

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

#AI #VectorDatabase #VectorSearch #Serveless #Eclipsestore

Join @MarkusKett at #IBMTechXchange. Tue, Oct 7 | 3–3:20 PM EDT, Stage 04 | Sandbox
'Sustainable & Cheap #GenAI at Scale' https://reg.tools.ibm.com/flow/ibm/techxchange25/sessioncatalog/page/sessioncatalog/session/1758545411372001vGYt

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

#AI #VectorDatabase #VectorSearch #Serveless #Eclipsestore

Vector database that can index 1B vectors in 48M

https://www.vectroid.com/blog/why-and-how-we-built-Vectroid

#HackerNews #VectorDatabase #Indexing #Technology #Vectroid #BigData #Innovation

OctaneDB – Fast, Open-Source Vector Database for Python

https://github.com/RijinRaju/octanedb

#HackerNews #OctaneDB #OpenSource #VectorDatabase #Python #FastDatabase

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

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: https://masoudmim.github.io/blog/2025/rag-system/

#RAG #LLM #MachineLearning
#VectorDatabase #Milvus #Ollama #Streamlit

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

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