480+ Blueprints, ready to build.

The first step is always the hardest. Search or browse to kick-start your next flow.

Vector Stores & RAG Data AI
or
AI Business Cloud Core Data Infrastructure

4 Blueprints

Build a Chat-With-Your-Data System Using Elasticsearch and OpenAI (RAG)

Build a RAG chat-with-your-data flow that retrieves answers from Elasticsearch and generates grounded responses with OpenAI.

Search icon
Return icon
ChatCompletion icon
Log icon
AI Data
Extract data from a CSV file, load it in batch to Weaviate and query it

Download a CSV over HTTP, convert it to ION, batch-load the rows into a Weaviate vector class, and query the result with GraphQL.

Download icon
CsvToIon icon
BatchCreate icon
Query icon
AI Data
Extract data from a REST API, load it to Weaviate and query it with GraphQL

Fetch JSON from an HTTP API, batch load it into a Weaviate vector database, then query with GraphQL.

Download icon
JsonToIon icon
BatchCreate icon
Query icon
AI Data
Nightly RAG Ingestion with Gemini Embeddings

Re-ingest documents nightly, embed them with Gemini, and store the vectors so a RAG app retrieves grounded context.

IngestDocument icon
GoogleGemini icon
KestraKVStore icon
SlackIncomingWebhook icon
Schedule icon
AI Data