These pages show how to use Gluedly as the ingestion layer for AI apps. The pattern is always the same: map the data you need once, fetch clean JSON or Markdown, and route it into the framework that powers your prompts, retrieval, or agents.
Why this matters for AI teams
Your model stack should not parse raw HTML. Gluedly gives you schema-stable web data first, so your app can focus on retrieval, prompting, and decision-making.
Framework guides
LangChain
Feed LangChain retrieval, tools, and chains with structured web data from Gluedly.
Read the guide
LlamaIndex
Load Gluedly output into LlamaIndex as clean documents for RAG and indexing.
Read the guide
Flowise
Push Gluedly data into Flowise workflows as a stable upstream source.
Read the guide
AutoGen / Agents
Provide agents with deterministic web-data tool context from Gluedly.
Read the guide
OpenAI Assistants
Feed OpenAI Assistants and tool-calling flows with structured, prompt-ready web data.
Read the guide
Vercel AI SDK
Connect fresh Gluedly output to AI apps built with the Vercel AI SDK.
Read the guide
Common integration flow
- Map the exact fields your AI workflow needs in Gluedly.
- Schedule updates or trigger runs when source content changes.
- Fetch clean JSON/Markdown from the API or receive it via webhook.
- Convert that structured payload into framework-native documents, tool arguments, or prompt context.