Turn Your RAG Apps Into AI Agents With 20 Lines of Code. ragbits v1.1 Release

If ragbits is something new for you, check this short demo:

We initially built it to simplify the internal development of production-ready RAG pipelines, and then decided to share it with the community. ragbits has always aimed to take care of the heavy lifting around ingestion, vector stores, and chat UIs so teams can focus on business logic instead of plumbing.

But today, we’re taking a giant leap forward.

Introducing Agentic Features in ragbits v1.1

Ragbits v1.1 is a huge release that unlocks agentic workflows out of the box. You can now transform your RAG applications into autonomous agents that can reason, call tools, and collaborate, all with minimal code changes.

What’s Inside Ragbits v1.1?

1. Agents: Build AI agents by defining simple Python functions as tools. Connect to external integrations via MCP Servers, or let agents communicate using the A2A Protocol.
2. Streaming Support: Deliver faster user experiences with default streaming in agent outputs.
3. Observability Upgrades: Gain full visibility with built-in tracing and metrics integrated with Grafana, OpenTelemetry, and Logfire.
4. UI Enhancements: Live updates, follow-up prompts, message history navigation, and a TypeScript SDK for seamless front-end integration.
5. New Integrations: Plug-and-play support for Weaviate VectorStore and Logfire tracing.
6. One-Command Project Generation: Quickly scaffold agentic architectures with new templates.

Build Agentic RAG in 20 Lines of Code

With ragbits Agents, upgrading your existing RAG apps to agentic systems is seamless. In just a few lines of code, your pipelines gain reasoning capabilities and tool usage – all while maintaining the simplicity ragbits is known for.

Monitor and Ship with Confidence

The new observability features enable you to monitor metrics and traces in real-time. Build beautiful Grafana dashboards to keep tabs on your production systems and ensure everything runs smoothly.

Why This Update Matters

In AI product development, building robust agentic workflows usually requires stitching together multiple frameworks, custom tool definitions, and orchestration layers. ragbits v1.1 abstracts this complexity, giving you a powerful yet developer-friendly toolkit to integrate agents directly into your existing RAG pipelines.

From chat apps suggesting follow-up questions to multi-agent systems autonomously completing complex workflows, the possibilities are now wide open, without weeks of custom integration work.

Watch the technical demo: 

See ragbits in action: https://www.youtube.com/watch?v=qbcHa83mR-Y