🧠 How does AI find information by meaning, not just keywords?

🔍 Vector databases power semantic search, RAG, chatbots & recommendations.

🚀 Learn the basics, tools, benefits & challenges.
Read: www.linkedin.com/pulse/what-v...

🌐 www.visualpath.in
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#GenAI #VectorDatabase #RAG #AI

🔍 AI search at millions of embeddings needs more than brute force.

Vector indexing methods like HNSW, IVF and PQ help balance search speed, accuracy and memory.

The goal: relevant results at scale.

#AI #VectorDatabase #RAG

В последнее время довольно много работаю над agent-memory-cpp.

Это C++ библиотека для быстрой, компактной и встраиваемой памяти AI-агентов: хранить embeddings локально и искать по ним без отдельного vector DB сервиса.

#cpp #VectorSearch #VectorDatabase #Embeddings #ANN #AI

Vector DBの次の使い方 ― MiniMax × Zilliz Cloudと日本の公開事例から考えるAI Data Infrastructure

#Zilliz #Milvus #VectorDatabase #LLM学習データ #AIインフラ

'Not used recently' and 'not valuable' are different things

Prune agent memory on recency x retrieval frequency x uniqueness, never on age alone.

#GH600 #AIAgents #LLM #VectorDatabase

Full GH-600 explanation, free: https://navyduck.com/github/gh-600/gh-600-e6-q023-memory-expiration-pruning

VEKTOR Slipstream v1.9.0 updates Https://medium.com/@vektormemory/vektor-slipstream-v1-9-0-updates-f87bdae83eae/share/vektormemory?source=social.bluesky
#VectorDatabase
#AgenticAi
#InformationSecurity
#AiMemory