Check out the blogs that falls under the category Vector Search. Learn more about the vector search best practices – interacting with AI LLMs and more
Category: Vector Search
Unlocking the Power of AWS Bedrock with Couchbase
In this blog, we explore how Couchbase’s vector store, when integrated with AWS Bedrock, creates a powerful, scalable, and cost-effective AI solution.
Semantic Similarity with Focused Selectivity
Discover how selective pre-filtering enhances semantic similarity search in Couchbase by combining vector and metadata queries.
Introducing Couchbase as a Vector Store in Flowise
Integrate Couchbase as a high-performance vector store in Flowise. Upsert data, run vector searches, and build AI applications with this no-code solution.
Extending RAG capabilities to Excel with Couchbase, LLamaIndex, and Amazon Bedrock
Extend Retrieval Augmented Generation (RAG) capabilities to Excel using Couchbase, LlamaIndex, and Amazon Bedrock. Make spreadsheets searchable.
Chat With Your Git History, Thanks to RAG and Couchbase Shell
Turn your Git history into a chat-ready knowledge base using RAG and Couchbase Shell.
A Guide to LLM Embeddings
Learn how LLMs generate and use embeddings to enhance natural language processing, improve search relevance, and enable AI-driven applications.
AI-Ready Data: Automate Embeddings with Capella’s Vectorization Service
Capella Vectorization Service automates embeddings, AI development is faster, easier with seamless semantic search, RAG apps, smart data retrieval.
DeepSeek Models Now Available in Capella AI Services
DeepSeek-R1 is now in Capella AI Services! Unlock advanced reasoning for enterprise AI at lower TCO. 🚀 Sign up for early access!
Integrate Groq’s Fast LLM Inferencing With Couchbase Vector Search
Integrate Groq’s fast LLM inference with Couchbase Vector Search for efficient RAG apps. Compare its speed with OpenAI, Gemini, and Ollama.
Plataforma única, Couchbase multiuso: Pesquisa vetorial, geoespacial, SQL++ e muito mais
Descubra como a abordagem multiuso do Couchbase combina pesquisa vetorial, geoespacial, SQL++ e mais, simplificando aplicações complexas em uma única plataforma.
2025 Enterprise AI Predictions: Four Prominent Shifts Reshaping Infrastructure and Strategy
Discover four key AI predictions for 2025 that will shape enterprise strategy, including the rise of hybrid AI models and evolving data architectures. Read more!
What is Semantic Search? The Definitive Guide
Learn how semantic search delivers relevant results by understanding user intent, context, and relationships between words in the comprehensive guide.
Top Posts
- Can Text-to-SQL Benchmarks Work on Document Databases? A Couchbas...
- What are Embedding Models? An Overview
- Data Modeling Explained: Conceptual, Physical, Logical
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- What Is Data Analysis? Types, Methods, and Tools for Research
- What are Vector Embeddings?
- Connecting Apache NiFi to Couchbase Capella: A Step-by-Step Guide
- Application Development Life Cycle (Phases and Management Models)
- Build a Personal Memory Search With Couchbase AI Services and Hyp...
