Tuana çelik Haystack Create agentic, context engineered ai systems using haystack’s modular and customizable building blocks, built for real world, production ready applications. Query decomposition to resolve complex queries that require to be broken down for rag to work effectively 👇 (in draft for now, but wanted to share already!).
Haystack Blog Haystack Previously i've worked at weaviate, a vector database and haystack (by deepset) which is an open source framework to build applications with llms, where i set up the community, helped release haystack 2.0 etc. Developer advocate at deepset working on our open source nlp framework haystack. interested in nlp, open source, semantic search and so on :). Main interests are: ai (specifically language technologies and llms) and python. i like building tooling and educational resources for tech communities and giving talks 🫶. Learn how haystack components, pipelines, and document stores can be used to build custom ai applications. build a rag pipeline and extend its ability by creating custom components. use conditional branching, self reflecting agents, and function calling to build complex pipelines and apps.
Github Haystack Main interests are: ai (specifically language technologies and llms) and python. i like building tooling and educational resources for tech communities and giving talks 🫶. Learn how haystack components, pipelines, and document stores can be used to build custom ai applications. build a rag pipeline and extend its ability by creating custom components. use conditional branching, self reflecting agents, and function calling to build complex pipelines and apps. Compare semantic kernel and haystack frameworks for ai development. expert analysis of features, performance, rag capabilities, and use cases to guide your 2026 ai project decisions. Retrieval augmented generative pipelines (rag) are one of the most effective techniques to leveraging llms for production. in this talk, tuana celik will walk through how you can build and customize your own rag pipelines with haystack, the open source llm framework by deepset. What would mother say?. During the first day of qcon san francisco 2023, tuana Çelik and thomas stadelmann from deepset, the creators of the open source large language model (llm) framework haystack, gave a talk.
Introduction To Haystack Compare semantic kernel and haystack frameworks for ai development. expert analysis of features, performance, rag capabilities, and use cases to guide your 2026 ai project decisions. Retrieval augmented generative pipelines (rag) are one of the most effective techniques to leveraging llms for production. in this talk, tuana celik will walk through how you can build and customize your own rag pipelines with haystack, the open source llm framework by deepset. What would mother say?. During the first day of qcon san francisco 2023, tuana Çelik and thomas stadelmann from deepset, the creators of the open source large language model (llm) framework haystack, gave a talk.
Github Trolldbois Python Haystack Gui Gui For Python Haystack What would mother say?. During the first day of qcon san francisco 2023, tuana Çelik and thomas stadelmann from deepset, the creators of the open source large language model (llm) framework haystack, gave a talk.
Rag Haystack Ai Opensource Python Tuana çelik 13 Comments
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