Top Tweets for #VectorSearch
Most People Get This Wrong: Vector Search
Most people pick the wrong one. What's yours?
Your question gets turned into a vector by an embedding model, and that vector is what the database searches.
Did you get it right?
#VectorSearch #Embeddings #RAG #AIEdShorts
Check out this webinar from @ipxchangetech ! You'll learn how to run @moorcheh_ai highly compressed search engine on a 4GB @arduino Uno Q for retail kiosks and more.
#VectorSearch #AgentMemory #RAG
#EdgeAI #PhysicalAI
What if a vending machine could talk to customers, answer questions, and make recommendations โ all without an internet connection?
Join ipXchange on December 3rd for a free, hands-on workshop exploring how to make this possible using Arduino UNO Q and @moorcheh_ai's Memanto memory and search technology.
Register now: https://t.co/KXsmV39Xir
Embeddings place text by meaning. Your error code has almost none, so a lookalike code wins. Hybrid search fixes it. #vectorsearch #rag
FAISS 1.16.0 (Nov 10) ships Meta FAIR's e-means. Authors say it matches Lloyd k-means' 25-epoch loss in 1.4-2.6 epochs, 10-45x faster on GPU. Their caveat: the tuning laws target high-dimensional data, not tiny or very low-dimensional sets. #FAISS #VectorSearch
e-means is now in FAISS 1.16. Meta FAIR's k-means replacement beats the loss Lloyd's k-means reaches in 25 epochs in about 1.2 to 3 epochs, with nothing extra to tune.
Worth a look if clustering embeddings is your slow step.
https://t.co/npGBbCzHhb #VectorSearch
The labels aren't wrong. They're a training byproduct, fine for a cheap look at your clusters. But anything that has to agree with how queries get routed should come from assign. Same centers, one honest lookup. #Python #RAG #VectorSearch
CQL can't filter on a similarity score. And a fixed cutoff is useless: for Her, 0.85 keeps 2 movies, 0.80 keeps 672 ๐ณ
Let's build "more like this" with #vectorsearch in #TypeScript + @Cassandra 5.0. The cutoff lives in your code ๐
Build with me โก๏ธ https://t.co/HwNztCXgmw
Search results turn toxic if they point to deprecated implementations. v1 fixes break v2. Scope retrieval by project version, not just semantic similarity. Stop debugging ghost code. How it works: #VectorSearch #DevOps #OceanBase https://t.co/Zit0ayuUX7
Vector similarity finds synonyms, not business intent. "Performance" requires semantic mapping, not embedding distance. Relevance depends on context, not just text matching. #VectorSearch #LLM #OceanBase
Retrieval isn't one step. Organize queries in layers: Scope access -> Combine clues (keyword+vector) -> Return evidence w/ version. Precision first, then semantic expansion. #VectorSearch #Database #OceanBase
AI Semantic Caching Explained | Slash LLM Costs in 2026
https://t.co/FrNvnNjTJW
#SemanticCaching #LLMOptimization #RedisStack #VectorSearch #PythonProgramming #DevOps #AI #CloudComputing #MachineLearning #LearnITGuide
1. Split docs โ parents โ children
2. Embed only the children
3. Search top-k children
4. Dedupe by parent_id
5. Send parents to the LLM
Search small. Return big.
#RAG #LLM #VectorSearch
Same query, same 3 rows, 3 different winners! ๐ฅ
Cosine picks A, dot product picks B, Euclidean picks C in @Cassandra 5.0 #vectorsearch. On cMovie all 3 agree, because every vector has length 1. See when they don't.
Build with me โก๏ธ https://t.co/WNbovO1GzC
Our paper on the core architecture behind tusKANNy is out.
Two libraries, one idea: separate the data from the index. ๐งต
#VectorSearch #NeuralIR #RustLang
Percona Search for MongoDB is now generally available! ๐
Run full-text, vector & hybrid search on your own infrastructure, with local embeddings, operator-managed deployments and no vendor lock-in.
Learn more: https://t.co/2ez1kTV0az
#MongoDB #VectorSearch #OpenSource #Databases
Watch "Database Management for Embedded Intelligence: ANN Indexes for Resource-Constrained Devices". https://t.co/qWjvPFMhy6
This microtalk explains how #embeddeddevices can utilize #ANNindexes for #vectorsearch under strict RAM and storage constraints.
#AIEdge #EmbeddedAI
. Do you prefer the simplicity of a dedicated vector DB, or the unified architecture of standard Postgres + pgvector? https://t.co/aMriF2lrHG
#AI #Memory #VectorSearch @Hiteshdotcom @ChaiCodeHQ
@proactiveintl Report e moduli con MongoDB 9? Sรฌ, รจ possibile. Valentina Studio, Valentina Server e altri prodotti sono compatibili con Mongo 9. Versione gratuita del software di gestione database disponibile! https://t.co/UFj7qyu5T5 #MongoDB #vectorsearch #mongodb9
@omegabundle Report e moduli con MongoDB 9? Sรฌ, รจ possibile. Valentina Studio, Valentina Server e altri prodotti sono compatibili con Mongo 9. Versione gratuita del software di gestione database disponibile! https://t.co/UFj7qyu5T5 #MongoDB #vectorsearch #mongodb9
@paradigmasoft Report e moduli con MongoDB 9? Sรฌ, รจ possibile. Valentina Studio, Valentina Server e altri prodotti sono compatibili con Mongo 9. Versione gratuita del software di gestione database disponibile! https://t.co/UFj7qyu5T5 #MongoDB #vectorsearch #mongodb9
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