Tuana Celik
where else to find them
what they talk about
all 4 in the filters
where they keep going back
- PyCon US2 editions2023–2024
all 4 in the filters
on a stage with
- Dmitry Goryunovonce
- Massimiliano Pippionce
- Mia Changonce
who talks about the same things
- Legare Kerrison3 talks
- Hema Veeradhi15 talks
- Eric J. Ma8 talks
- Amir Siddiqui7 talks
- Markus Schuttler3 talks
- Hugo Bowne-Anderson3 talks
| title | conference | date |
|---|---|---|
| Using LlamaIndex to Build an Open-Source NotebookLM Alternative | Open Agent Summit 2025 | 2025-10-21 |
Built an open-source NotebookLM alternative called NotebookLlama that uses LlamaIndex Workflows 1.0 and Llama Cloud (Llama par + Llama extract) to parse PDFs… | ||
| Composing AI Applications as a Graph with Haystack | AI_dev: Open Source GenAI & ML Summit Europe 2024 | 2024-06-19 |
Haystack 2.0 models AI apps as a directed cyclic graph so pipelines can loop and become agentic; components are Python classes with run methods that pass typed… | ||
| Finding the needle: a deep dive into the rewriting of Haystack | PyCon US 2024 | 2024-05-15 |
Haystack 2.0 claims a concrete rewrite: components shrink to a single-class decorator plus a run method, with typed outputs and a uniform component interface… | ||
| Everything is a graph, including LLM Applications (and that’s handy) | PyCon US 2024 | 2024-05-15 |
Claims that thinking of NLP systems as Haystack pipelines as directed graphs reduces complexity, shows actual components used (embedders, rankers, generators)… | ||
| Building Generative AI Applications | AWS Summit Berlin 2023 | 2023-05-04 |
Shows how to attach large language models to real data using retrieval-augmented generation with Haystack, combining an embedding retriever + prompt templates… | ||
| Building LLM-based Agents | PyCon US 2023 | 2023-04-19 |
Claims a reproducible pattern: an LLM (GPT‑4) acting as a decision loop that picks real tools, runs them, and composes answers. Implements Haystack pipelines… | ||
| nothing matches | ||