Tag: RAG retrieval-augmented generation
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.
Introducing Model Context Protocol (MCP) Server for Couchbase
Introducing Couchbase MCP Server: an open-source solution to power AI agents and GenAI apps with real-time access to your Couchbase data.
Build Your First Open Source AI Agent with Couchbase
Build an open-source AI agent with Python, JavaScript, and Couchbase. Automate tasks and deploy your own AI assistant—completely free!
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 Data Chunking
Data chunking refers to the process of breaking up datasets into smaller chunks. Learn how it improves performance, speed, and memory management.
PDF RAG Demo: Building Simplified AI Workflows with Couchbase Shell
Explore how to create a PDF-based RAG pipeline using Couchbase Shell, making AI workflows simpler and more efficient with step-by-step guidance.
Supercharge Your RAG application With Couchbase Vector Search and Unstructured.io
Announcing the Couchbase and Unstructured.io connector—quickly convert unstructured data into JSON and vector embeddings for seamless integration into your RAG pipeline.
Preparing Datasets for Fine-Tuning ML Models: A Comprehensive Guide
Create high-quality datasets for fine-tuning models with this guide on data gathering, text extraction, and instruction file generation.
Building End-to-End RAG Applications With Couchbase Vector Search
Enhance app LLM capabilities using Couchbase Vector Search and RAG, allowing contextual responses from private data sources.
Building a Path to Edge AI for Vector Search, Image, and Data Focused Applications
Couchbase integrates AI, vector search, and edge computing to enhance customer experiences with fast, reliable, and real-time data processing at the edge.
Vector Search at the Edge with Couchbase Mobile
Couchbase Lite isthe first database platform with cloud-to-edge support for vector search powering AI apps in the cloud and at the edge. Learn more here.
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