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Why does vector search matter in 2025? It powers semantic understanding in AI apps like recommendations & search. Learn how OpenSearch to use OpenSearch as a vector database: https://youtu.be/oX0HMAztP8E #VectorSearch #AI #OpenSource
Unlocking the Power of Vector Search: Optimizing Filtering Without Sacrificing Recall
As vector search technology evolves, developers face the challenge of efficiently filtering results without losing valuable recall. This article delves into advanced techniques and optimizations emplo...
RavenDB vs PgVector: A Deep Dive into Vector Search Optimization
In the ever-evolving landscape of database technologies, the choice between RavenDB and PgVector for vector search optimization can significantly impact performance. This article explores the intricac...
https://news.lavx.hu/article/ravendb-vs-pgvector-a-deep-dive-into-vector-search-optimization
RavenDB vs PgVector: A Deep Dive into Vector Search Optimization
In the ever-evolving landscape of database technologies, the choice between RavenDB and PgVector for vector search optimization can significantly impact performance. This article explores the intricac...
https://news.lavx.hu/article/ravendb-vs-pgvector-a-deep-dive-into-vector-search-optimization
Neo4j treibt mit GraphRAG, Vektor-Indizes & Agentic RAG die #KI-Entwicklung voran. Ob #LangChain, #LlamaIndex, #SpringAI oder #VertexAI – das neue Python-Paket und das Model Context Protocol (MCP) verknüpfen Graphdaten nahtlos mit #LLM-Anwendungen.
#Neo4j #GenAI #RAG #GraphQL #Cypher #VectorSearch #AgenticAI
https://www.bigdata-insider.de/leistungssprung-bei-graph-datenbanken-mit-ki-integration-cloud-skalierung-und-terabyte-graphen-a-2307ed20cfaf562a1a0094b712b5be95/
BigData-Insider · Leistungssprung bei Graph-Datenbanken mit KI-Integration, Cloud-Skalierung und Terabyte-Graphen
Transforming PostgreSQL Search: Meet VectorChord-BM25, the 3x Faster Alternative to ElasticSearch
VectorChord-BM25 is set to redefine full-text search in PostgreSQL, integrating advanced BM25 ranking for smarter and faster results. This new extension promises to enhance the search experience, achi...
Scale vector search without breaking the bank! @OpenSearchProject introduces disk-based vector search, combining efficient quantization with secondary storage to reduce RAM usage while maintaining accuracy.
Read more: https://opensearch.org/blog/Reduce-Cost-with-Disk-based-Vector-Search/
#OpenSearch #VectorSearch #AI
GIF
Exploring Client-Side Retrieval-Augmented Generation: A Game Changer for Privacy-Focused Applications?
The rise of client-side Retrieval-Augmented Generation (RAG) is stirring curiosity among developers. Can this innovative approach effectively scale vector search and manage embeddings while addressing...
Elevating Vector Search: Harnessing ColBERT Rerank in PostgreSQL
Discover how ColBERT's innovative token-level multi-vector representation is transforming vector search capabilities in PostgreSQL. By integrating advanced reranking techniques, developers can enhance...
https://news.lavx.hu/article/elevating-vector-search-harnessing-colbert-rerank-in-postgresql
Unlocking Research Efficiency: Meet Notate, the AI-Powered Desktop Research Assistant
In the ever-evolving landscape of research and knowledge management, Notate emerges as a game-changer. This powerful desktop assistant leverages AI-driven analysis and advanced vector search technolog...
