🎉 Join us for the Haystack 2.0 meetup and release celebration lu.ma/sf-haystack-me… 📆 March 28th. 6-9 PM, 1974 Union St, San Francisco 💬 Speakers Carter Rabasa, Tuana, and Craig Dennis will inspire you about fresh AI topics -- everything from #TaylorSwift to #LLamaGuard.

We're adding guides on Advanced RAG Techniques. Our first one: HyDE (Hypothetical Document Embeddings): Read the full guide to learn: · When HyDE is useful · How it works · How To Build It in Haystack 👉 docs.haystack.deepset.ai/v2.0/docs/hypo…

⭐️ Hypothetical Document Embeddings (HyDE) A technique that improves retrieval by generating “fake” hypothetical documents based on a given query. Today, we started to add new guides on "Advanced RAG Techniques" to the Haystack that includes a whole page on HyDE 🙌 We're

Two weeks to go for the Haystack 🧡 Neo4j webinar 📆 March 21st, 6PM CET (9AM PT) ​Talk 1: Neo4j Haystack Integration with Sergey Bondarenco Talk 2: Knowledge Graphs for RAG with Andreas Kollegger Sign up here: lu.ma/6iskyd0g

We are thrilled to announce the stable version of Haystack 2.0 🎉 We’ve been working on this for a while and now Haystack 2.0 has everything to help you implement composable LLM applications that are easy to use, customize, extend, optimize, evaluate, and deploy to production.

We are so happy with the reception to Haystack 2.0's launch! If you want to write production-ready Python NLP apps with a stable, transparent, customizable framework, give it a try here: haystack.deepset.ai/overview/quick… Our open-source community are the real heroes here - we can’t thank

If you have NLP pipelines running in production, you likely need to maintain them. If you need to detect the sources of problems, having a good way to see each step of execution, and even more, identifying the pipeline with issues (when you have more than one running) is quite

Want to challenge Llama 3? 🦙🦙🦙 ​ Introducing 🧑‍🏫 AutoQuizzer, a fun and educational LLM quiz generator built with 🦙 Llama 3 8B Instruct,⚡ Groq Inc, and Haystack! 💙 ​ 🤹 How It Works: • Provide a URL -> Instantly get a multiple-choice quiz. • Play it yourself or let the LLM

No need to rely solely on closed models like gpt-4 for evals. Prometheus 2, an open-source alternative, offers high correlation with human evaluations, flexibility, transparency, and without the downsides of closed models (privacy, cost etc). Check out this blog post and a Colab

Explore a quick guide on deploying #NVIDIANIM with Docker for easier integration of NIM microservices APIs with top #generativeAI frameworks – like Haystack, LangChain and @Llama_index. ➡️ nvda.ws/3wYaE3Z ✨

3 days ago Qdrant announced a new baseline for hybrid search: BM42 ​ My understanding is that the work stems from the observation that typical search algorithms such as TF-IDF and BM25 (which evolved from TF-IDF) are powerful, but not the best suited for RAG applications.

.MongoDB is excited to announce integration with Haystack, enhancing Atlas Vector Search for Python developers! Start building smarter, more intuitive Python projects today! 👇 mongodb.social/60129QGaG

New projects for Haystack and the AI community coming soon! Thank you to Andrew Ng and DeepLearning.AI for the hospitality last week. And I’m looking forward to sharing our work with everyone 🎸

Interested in latest embedding models? We share insights from our latest work together with Mixedbread where we trained a SOTA German embedding model...

🚀 Live from #Ai42024! Thrilled to announce deepset Studio, an interactive tool for designing custom AI pipelines with Haystack! With YAML export and integrations to deepset Cloud & @NVIDIA AI Enterprise, you can deploy mission-critical apps more efficiently than ever. Learn

✅Get ready to take your AI RAG and agentic projects to the next level. Simplify and accelerate building simple to complex #AI applications with Haystack, whether you're working in the cloud or on-prem. The integration of NVIDIA AI Enterprise with deepset, makers of Haystack Studio is here

The new best friend of your IDE for building (agentic) Haystack pipelines

We are officially cool now 😎

Congratulations to deepset, makers of Haystack on being recognized in the 2024 Gartner® Cool Vendors in AI Engineering report! We’re excited to support Milos Rusic, Malte Pietsch, and the team as they simplify the complexity of compound AI development.

🚀 Haystack 2.10.0 is here – packed with powerful upgrades for agentic pipelines!⁣ ⁣ - Smarter 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞.𝐫𝐮𝐧() logic fixes execution issues and improves the reliability of complex pipelines⁣ - 𝐀𝐬𝐲𝐧𝐜𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 enables huge improvements through concurrent