Ingest S3 Documents into a Vector Store with Datris (Full UI Walkthrough)

In this walkthrough, I show you how to create a Tap in the Datris Platform that pulls documents from an Amazon S3 bucket and ingests them into a vector store — ready for semantic search and AI agents.

A Tap is a recurring data source feed in Datris. Once configured, it automatically pulls new files from S3, chunks and embeds them, and lands the vectors in your search index — no glue code required.

What you'll see in this video:

Connecting an S3 bucket as a source
Configuring the Tap (schedule, file patterns, parsing)
Setting up the embedding model and vector destination
Running the Tap and verifying ingested documents
Querying the vector store to confirm everything works end-to-end
Why this matters:
If you're building RAG pipelines or AI agents that need fresh, queryable context from your document storage, Taps give you a managed, repeatable way to keep a vector store in sync with S3 — with full visibility into every run.

Learn more about Datris:

Website: https://datris.ai
Docs: https://docs.datris.ai
GitHub: https://github.com/datris/datris-platform-oss
Datris is the first AI agent-native data platform — built so agents (and humans) can stand up data pipelines, taps, and search indexes through a single MCP-driven interface.

#Datris #VectorDatabase #RAG #S3 #DataIngestion #AIAgents #MCP

Видео Ingest S3 Documents into a Vector Store with Datris (Full UI Walkthrough) канала Datris-AI