#VectorDB - Twitter Hashtag

1 day ago

"cheap flight" and "budget air ticket" share no words but mean the same thing. 🔎 Embeddings → vectors → nearest-neighbour search (HNSW) → RAG. Pinecone, Qdrant, Weaviate, pgvector. #VectorDB #RAG #GenAI

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ozan @ozanc404

2 days ago

Next up: saving the vectors to a vector database and running searches on it. I’ll write about that part next. #RAG #VectorDB

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ozan @ozanc404

2 days ago

I run the same model twice. First to decide where to split. Second to embed the final chunks so they can be searched. Those vectors are stored in Milvus together with the chunk text. #VectorDB #Milvus

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ozan @ozanc404

6 days ago

Brute-force checks every vector: exact, but slow at scale. ANN indexes trade some accuracy for speed. IVF searches only the closest clusters, HNSW follows links in a layered graph. The full path: text, chunk, embedding, index, search. #minusonetozero #VectorDB #Milvus #AI

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ozan @ozanc404

6 days ago

Models have an input length limit. One vector per document mixes topics, and oversized chunks bury the relevant part. Split by heading, paragraph or meaning, and overlap neighboring chunks to keep context. #minusonetozero #VectorDB #Milvus #AI

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ozan @ozanc404

6 days ago

L2 is the distance between two points. Cosine compares the angle and ignores length, so [1,2] and [2,4] score 1. Inner product uses both direction and length. The right choice depends on how the embedding model was trained. #minusonetozero #VectorDB #Milvus #AI

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ozan @ozanc404

6 days ago

A model turns text, images or audio into numbers that capture meaning. Each number is one dimension. Score fruit on [sweet, sour, firm]: apple [8,2,7], pear [9,2,4], lemon [2,9,6]. Apple and pear land close, lemon lands far away. #minusonetozero #VectorDB #Milvus #AI

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ozan @ozanc404

6 days ago

I’ll be using Milvus in an upcoming project, so I wanted to play around with it first. Data access seems to be shifting toward describing what you want over writing SQL. Relational databases still handle transactions and exact numbers. #minusonetozero #VectorDB #Milvus #AI

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こはねちゃん @ko8ne_chan

7 days ago

RAG、ベクトルDBを「とりあえず使う」で済ませてない？🔍🧠 ベクトル埋め込みの基礎から、SQLite/PostgreSQLを使った実装、セマンティック検索、LLMと連携したRAGまで学べる一冊。仕組みから理解したい人に👇 https://t.co/dXSfpG9nIC #VectorDB #RAG #生成AI #PR

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TakkuAny @ossbug_kun

26 days ago

今日はこの3冊をやっていく。 Raycast本何回目？って思われるかもだけど、実用本だから本と体が一体化するまで読むやつです。なお、現職には1mmも関係ない。でも、今の仕事に関係ないなら、関係ある仕事ができる自分になればいい。うん、今日は徹夜🫡 #webセキュリティ #vectorDB #Raycast

ossbug_kun's tweet photo. 今日はこの3冊をやっていく。

Raycast本何回目？って思われるかもだけど、実用本だから本と体が一体化するまで読むやつです。

なお、現職には1mmも関係ない。

でも、今の仕事に関係ないなら、関係ある仕事ができる自分になればいい。

うん、今日は徹夜🫡

#webセキュリティ
#vectorDB
#Raycast https://t.co/JePoU8bX6n

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Whyparrot

@TzoooosT

about 1 month ago

🧪 FREE BETA: Oct 7 - Nov 1 💳 Payment on TEST KEY ONLY — No real charge. Free trial only. Try it free → https://t.co/H30ZOouSTM Whitepaper: /api/whitepaper #AI #MCP #RAG #VectorDB #AIAgents #LLM #BuildInPublic #Cursor #ClaudeCode #FreeBeta

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Anmoll

@anmoll_w

about 1 month ago

Been learning about vector databases. Made a short guide on what they do, where they're useful and how to choose one. https://t.co/ga9qakexPm #VectorDB #RAG

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Pankaj Kumar @PankajB42550

about 2 months ago

#Day11 Lecture 10 How vector databases actually work. ANN trades a little recall for massive speed. IVF ↦ Cluster. Search nearest clusters. HNSW ↦ Graph. Navigate layers. PQ ↦ Compress 6144 bytes ↦ 96 bytes. @rohit_negi9 @adityatandon02 #FDE #GENAI #VectorDB #CoderArmy

PankajB42550's tweet photo. #Day11 Lecture 10

How vector databases actually work.

ANN trades a little recall for massive speed.

IVF ↦ Cluster. Search nearest clusters.
HNSW ↦ Graph. Navigate layers.
PQ ↦ Compress 6144 bytes ↦ 96 bytes.

@rohit_negi9 @adityatandon02

#FDE #GENAI #VectorDB #CoderArmy https://t.co/wUzrhFsPZB

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Your Tech Compass @yourtechcompass

about 2 months ago

AI's hidden cost isn't tokens; it's inference + vector DBs at scale. Our deep dive maps the 5 optimization plays and the honest vector DB math so your RAG unit economics survive growth. https://t.co/aCmjhQnHyA #YourTechCompass #AIInfrastructure #LLMOps #VectorDB #RAG #DevTools

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Raphael Malikian MBBS BSc(Hons) @rtmalikian

about 2 months ago

Fixed a silent data-loss bug in headroomlabs-ai/headroom! SmartCrusher now discloses dropped array items with a retrievable CCR sentinel instead of vanishing without a trace. #OpenSource #VectorDB #MachineLearning https://t.co/LT2kLy8Nnj

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Code & AI Hub @CodeAndAIHub

2 months ago

Vector DB + Spring Boot ☕🤖 Build AI-ready applications with semantic search, embeddings, RAG, and vector databases. Spring Boot + Vector DB = Smarter AI Apps 🚀 #Java #SpringBoot #AI #VectorDB #RAG #GenerativeAI

CodeAndAIHub's tweet photo. Vector DB + Spring Boot ☕🤖

Build AI-ready applications with semantic search, embeddings, RAG, and vector databases.

Spring Boot + Vector DB = Smarter AI Apps 🚀

#Java #SpringBoot #AI #VectorDB #RAG #GenerativeAI https://t.co/MN8jHWfQNR

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tushar soni @iam_tsr

3 months ago

working on a project looking forward to connect with devs with interest in #vectordb #SSLM #embeddings

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Daniele Scaratti @lupodevelop

4 months ago

Skeg is live on Product Hunt today. Open-source project I’ve been working on for a while. If you’re into this and feel like supporting it, I’d appreciate it. https://t.co/CWJOoVF053 #ProductHunt #VectorDB #RAG #AI #OpenSource #Rust #LLM

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Balvinder Singh

@balvinder00

4 months ago · Hisar

Vector Databases Explained Simply How they power AI search, long-term memory, and agents. Beginner-friendly breakdown with real use cases. Watch now 👇 #VectorDB #AI #LLMs

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Navneet shahi @Navneetshahi15

5 months ago

How do you efficiently load 500–1000+ chunks into a VectorDB for RAG systems? Batch inserts, async workers, queues, parallel embeddings, or something else? Curious how people handle this in production. 🤔 #RAG #VectorDB #LLM

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