Author
Supercharge Machine Learning (ML) Applications with Couchbase
To accelerate the development of ML applications, we recently announced ways to leverage Capella as both an online and offline feature store in one platform.
Build Performant RAG Applications Using Couchbase Vector Search and Amazon Bedrock
Enhance generative AI with Retrieval-Augmented Generation using Couchbase Capella and Amazon Bedrock for scalable, accurate results.
Accelerate Couchbase-Powered RAG AI Application With NVIDIA NIM/NeMo and LangChain
Develop an interactive GenAI application with grounded and relevant responses using Couchbase Capella-based RAG and accelerate it using NVIDIA NIM/NeMo
Develop Performant RAG Apps With Couchbase and Vectorize
The teams at Couchbase and Vectorize have been working hard to bring the power of Vectorize experiments to Couchbase Capella.
Top Posts
- Couchbase 8.0: Unified Data Platform for Hyperscale AI Applicatio...
- Data Modeling Explained: Conceptual, Physical, Logical
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- Event-Driven Data Migration & Transformation using Couchbase...
- What Is Data Analysis? Types, Methods, and Tools for Research
- What are Embedding Models? An Overview
- Integrate Groq’s Fast LLM Inferencing With Couchbase Vector...
- Application Development Life Cycle (Phases and Management Models)
- Capella Model Service: Secure, Scalable, and OpenAI-Compatible
