Building Agentic Workflows with Inngest
Blog post from Inngest
Ingest is being used to build agentic workflows with Weaviate, a vector database that enables flexible and robust AI applications. The Dinner Generator workflow uses Ingest's composable API to create an agentic pipeline that generates the perfect dinner menu based on tastes, allergies, and the number of attendees. The workflow relies on three datasets available on Huggingface and leverages Weaviate's batching and vectorizer APIs to quickly process large amounts of data. Ingest enables the creation of AI workflows with simple TypeScript API, while Weaviate enables quick retrieval of data from vectorized collections. The agentic nature of the workflow resides in its ability to fetch additional information when allergies are mentioned in the food preferences. The combination of Weaviate and Ingest makes it easy to build such agentic and data-intensive workflows.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 8 | 3,709 | 434 | 145 | +39% |
| Vector Search | 5 | 2,433 | 274 | 99 | -40% |
| AI Agents | 4 | 865 | 204 | 92 | -19% |
| RAG | 3 | 1,794 | 220 | 80 | +16% |
| Developer Experience | 1 | 418 | 168 | 95 | +43% |
| Serverless | 1 | 547 | 133 | 74 | -30% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.