Haystack
@Haystack_AI
The open-source AI framework by @deepset_ai Follow for regular feature updates and developer content 🚀 Discord for support: https://discord.gg/AH8a5Tm8vb
In our latest success story, @TELUS_AGCG shares how they built an 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗰𝗵𝗮𝘁𝗯𝗼𝘁 𝘄𝗶𝘁𝗵 @Haystack_AI (𝗯𝘆 𝗱𝗲𝗲𝗽𝘀𝗲𝘁), enabling real-time, secure access to trade promotion insights through natural conversation. Under the hood: ⚙️ RAG + SQL tools working…
🚀 Haystack 2.18 is here! 🔁 Pipeline Error Recovery → resume from the last successful step with snapshots 🧠 Structured Outputs → generate Pydantic/JSON schema responses with @OpenAI/@Azure 🛠️PipelineTool → easily expose full @Haystack_AI pipelines as LLM-compatible tools…
🔥 Haystack is trending on GitHub… again! It’s all thanks to you, the devs who use, contribute, and share ideas. You’re shaping how AI apps get built for production. ⭐ Add your star and join the community: github.com/deepset-ai/hay…
🧪 Haystack Experimental v0.13.0 is here! ✨ New experiments: - Smart document splitting that understands context - AI that recognizes when it might be hallucinating - Query expansion that searches multiple angles of the query at once Try the new experiments:…
🪢 Integrating Llama Stack and @Haystack_AI to Advance Sovereign Enterprise AI We've integrated @MetaforDevs #LlamaStack with our AI Platform and open-source Haystack Framework, enabling enterprises, government agencies, and defense organizations to accelerate the development of…
Embeddings got an upgrade🚀 Day Zero support in @Haystack_AI for EmbeddingGemma💎 by @GoogleDeepMind 🎉 🔹 308M params, 2k context 🔹 100+ languages 🔹 <200 MB RAM (embeddings on everyday devices) 👉 Build multilingual RAG & search apps with high-quality embeddings today
Introducing EmbeddingGemma: our new open, state-of-the-art embedding model designed for on-device AI 📱
🔔 Haystack 2.17 is here with extended multimodality & flexible routing This release expands Haystack's multimodal capabilities and makes core components more powerful and flexible for building dynamic AI pipelines. 🖼️ Image support for more model providers Building on the…
🕵️🌐 New notebook: Browser Agents with Gemini + Playwright MCP No API? No problem. This Agent can use websites like you do: click, type, wait, read. 🎥 In the video, it visits @huggingface Spaces, finds FLUX.1 [schnell], expands "my holiday on Lake Como" into a detailed prompt,…
Haystack can now see 👀 The latest release of @Haystack_AI LLM framework adds a long-requested feature: image support! But it’s not just about passing images to an LLM: we built the full stack for practical multimodal pipelines/agents. 📓 Notebooks below 🧵 What’s inside 👇
🚀 Introducing Haystack Enterprise: a faster path from prototype to production with expert support and best practice guidance. Haystack Enterprise is available now and includes: 🔧 Expert support from the Haystack core team 📦 Out-of-the-box templates for advanced RAG, agents,…
🔔 Haystack 2.16 is here with deep debugging for Agents and powerful multimodal workflows. This release is all about developer control and building smarter, more flexible AI apps. 🧠 Agent Breakpoints Pause execution mid-run, inspect internal state, and resume. Perfect for…
🧪 Experimental 0.11.0 is out! Here's what's new 👇 🧠 QueryExpander: Boost recall with query variations. 🛣️ Document Type & Length Routers: Route your docs intelligently. 🖼️ New image-text powers: Visual QA, image embeddings, and beyond. Try it out 🔗github.com/deepset-ai/hay…
🔥 Haystack 2.15 just landed with faster agents and AI guardrails for safer apps Here’s what’s new 👇 ⚡ Parallel Tool Calling Agents now run tool calls in parallel. This speeds up agents without needing custom async setups. 🛡️ Guardrails with LLMMessagesRouter Use LLMs to…
Good retrieval makes or breaks your RAG system. At @PyConLT, David shared: 🔍 How to pick the right retrieval method (from classical IR to LLM-boosted) ⚖️ Speed vs. accuracy trade-offs 📊 Real-world benchmarks with @Haystack_AI 🎥 Watch it here youtube.com/watch?v=Qv_Ils…
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David Batista - Smarter Retrieval, Better Generation Improving RAG...
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