Powering the Inference Era: Inside the DigitalOcean Data & Learning Layer
The DigitalOcean Data & Learning layer offers structured, vector, and retrieval layers that work together in the same ecosystem.
DigitalOcean Blog6 min read
retrieval augmented generation
524 stories
Hexabot vs n8n for AI Workflow Automation: Which One Should You Use?
Compare Hexabot and n8n for AI automation, agentic workflows, chatbots, integrations, self-hosting, memory, extensibility, and production use cases.
Hexabot Blog13 min read
DigitalOcean Serverless Inference: A Deep Dive
A deep dive into DigitalOcean Serverless Inference—how we built a scalable, API-first AI inference platform and the architecture powering it.
DigitalOcean Blog16 min read
From Chatbot to AI Agent: How Conversational Automation Is Evolving
Conversational automation is evolving from traditional chatbots to AI agents that understand context, use tools and automate business processes.
Hexabot Blog11 min read
How to Set Up a New Hexabot Project: From Zero to Your First AI Automation Workspace
Learn how to create and run a new Hexabot project. Set up your AI workflow automation workspace with local development, MCP, and AI coding agents.
Hexabot Blog9 min read
Introducing Search Toolkit
Search Toolkit is a composable framework for building production search pipelines for AI applications.
Mistral AI News5 min read
How Semantic Search Powers AI Retrieval Systems
Learn how semantic search powers AI retrieval, RAG systems, vector embeddings, and AI search engines like ChatGPT and Google AI Overviews.
Writesonic Blog10 min read
Turn Azure Data into an AI-Ready Knowledge Base
Learn how to turn Azure Blob Storage data into an AI-ready knowledge base using Pinecone. A deployable template automates the full ingestion pipeline—parsing, chunking, embedding, and indexing—so your documents are searchable in minutes.
Pinecone2 min read
Build a Coding Assistant with Weaviate MCP: RAG over Code & Docs
Use Weaviate's built-in MCP server to give Claude Code, Cursor, and VS Code hybrid search over your codebase and docs. No glue code.
Weaviate17 min read
Text Analysis for Hybrid Search: Tokenization, Stopwords & Accent Folding
Tokenization makes or breaks hybrid search. See how Weaviate's accent folding, custom stopwords, and /v1/tokenize endpoint power multilingual BM25.
Weaviate11 min read
What Is a Business Agent?
Chatbots respond, copilots assist, and RAG systems retrieve. Business agents take actions, plan workflows, call external systems, and know when to stop and ask. Six architectural properties separate the category from everything else.
Jitera Blog8 min read
How a Knowledge Engine Works: From Artifacts to Agent-Ready Answers
A knowledge engine is the data infrastructure category that lets agents query trusted, compiled knowledge instead of brute-forcing retrieval over raw data. How one is built, how agents query it, and how it compares to RAG, vector databases, and semantic layers.
Pinecone19 min read
Full Text Search in Pinecone, Now in Public Preview
Full text search in Pinecone, built for agents and RAG. Lucene queries, BM25, 17-language tokenization, and text-match filters in a single query alongside vectors.
Pinecone4 min read
How Agencies Can Use AEO Audits to Close Clients
Learn how to use AI visibility audits to close GEO clients before they commit, using real data from Gauge.
Gauge Blog9 min read
Your LLM Is Only as Good as What It Retrieves
A Researcher's Perspective on Retrieval Quality in RAG Systems
Weaviate10 min read
AEO KPIs: The Key Metrics for Measuring AI Search Performance
A quick discovery of the core AEO metrics that help teams understand how to navigate Answer Engine Optimization (AEO).
Gauge Blog9 min readAPI-First vs Scraping: A Reliability Engineering Perspective
Compare API-first and scraping architectures through reliability engineering — uptime SLAs, schema stability, data freshness, and production failure modes.
ZooData Blog8 min readFirecrawl vs Building Your Own Crawler: A Practical Comparison for 2026
Compare Firecrawl's managed scraping against custom-built crawlers — cost, maintenance, reliability, and when a structured API is the better choice.
ZooData Blog7 min read
Showing 414 of 524 stories
Load more storiesAiByts Weekly Brief
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts