Malte Pietsch @malte_pietsch
Co-Founder & CTO of deepset | Building Haystack & deepset Cloud | NLP, LLMs, Engineering, Open-source deepset.ai Berlin, Deutschland Joined April 2010-
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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…
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…
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.…
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 @akollegger Sign up here: lu.ma/6iskyd0g
🎉 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 @crtr0, @tuanacelik, and @craigsdennis 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_AI that includes a whole page on HyDE 🙌 We're…
🔥 Released Sparrow v0.1.3 with agents support Calling agent running with Haystack 2.0 RAG pipeline (with structured JSON output), and executing query over LLM running locally with Ollama 👇 Sparrow - github.com/katanaml/sparr… @Haystack_AI @ollama @pydantic @katana_ml
Evaluation is quite a large and very much debated topic when it comes to LLMs and retrieval-augmented generation. We're currently implementing evaluation for @Haystack_AI 2.0 as we speak. This means there's a lot of room to bring your own perspective to how we shape evaluation…
And here we have the 8th challenge of Advent of @Haystack_AI ☃️ For this one, we're helping Elf Stefano @theanakin87 with all the meeting notes he's drowning under! 📆 Build a custom ranker that ranks documents by date 🚀 Use the Haystack custom components API to do so! This…
Incorporating ✨ retry loops ✨ into the way you set up LLM interactions can be quite handy! Here's an example, and a tutorial on how you can implement it yourself 👇 Take generating structured data from unstructured data (text): Generate JSON data with a schema that you define,…
On December 15 I'm leading a #DataHour workshop hosted by @AnalyticsVidhya 📈 We'll see how to build a simple RAG pipeline with Haystack 2.0 and extend pipeline capabilities for more powerful use cases like web LFQA 👩💻 Register here 👉 datahack.analyticsvidhya.com/contest/dataho…
The Haystack ecosystem is growing! Today, we’re happy to announce the new @Gradient_AI_ integration for Haystack 2.0-Beta 🚀 With this new integration, you can use models fine-tuned and deployed using the Gradient platform in your Haystack indexing and retrieval-augmented…
Since we've released @Haystack_AI 2.0-Beta, I'll take the opportunity to share a complete pipeline with you and highlight some major changes 👇 (all resources in comments) ⚛️ Components are becoming a lot more explicit as to what they do. For example, instead of one…
🚀Amazing crowd at the AITinkerers in Berlin - enthusiastic about the automated GitHub PR Writer I just presented! Leveraged the power of Haystack 2.x, OpenAPI spec for GitHub branch comparison, function calling & gpt4
Thanks again for having me on the podcast, Ben! Really enjoyed our conversation about the LLM ecosystem, RAG, where Haystack and deepset Cloud fit in and the role of robust evaluation.
Thanks again for having me on the podcast, Ben! Really enjoyed our conversation about the LLM ecosystem, RAG, where Haystack and deepset Cloud fit in and the role of robust evaluation.
It's great seeing newer and better open-source LLMs and testing them out with Haystack. The latest Zephyr models by @huggingface were tested out by @tuanacelik and @theanakin87 using the preview for Haystack 2.0. You can read their full guide here 👇 haystack.deepset.ai/blog/guide-to-…
Do you know that Pipelines are going to be much more powerful in Haystack 2.0? 🦾 Check out this blog post from @zansara_dev to learn all the details 🧐
Do you know that Pipelines are going to be much more powerful in Haystack 2.0? 🦾 Check out this blog post from @zansara_dev to learn all the details 🧐
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(((ل()(ل() 'yoav))).. @yoavgo
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We have decided to update text-generation-inference (TGI)'s license. We switch the license from HFOIL (our custom license) back to Apache 2, hence making the library fully open-source. Read below for why we are making this change 👀
🚀 𝐂𝐨𝐡𝐞𝐫𝐞 𝐄𝐦𝐛𝐞𝐝 𝐕𝟑 - 𝐢𝐧𝐭𝟖 & 𝐛𝐢𝐧𝐚𝐫𝐲 𝐒𝐮𝐩𝐩𝐨𝐫𝐭🚀 I'm excited to launch our native support for int8 & binary embeddings for Cohere Embed V3. They slash your vector DB cost 4x - 32x while keeping 95% - 100% of the search quality. txt.cohere.com/int8-binary-em…
I'm physically tired of AI hypers going, "OMG OMG, LLM just released. Here is a thread on what you need to know" I don't need to know.
This model can automatically debug CUDA version errors. AGI achieved ✅😂
3/4 Devin can train and fine tune its own AI models.
The @Haystack_AI friends just released version 2.0 🚀 It includes a cool @FastAPI-based system to deploy pipelines (hayhooks) 😎
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.…
Haystack 2.0 is nearly here! 🚀Among tons of new features it comes with OpenAPI Specification (OAS) support for services. Integrate your tools without wrapper code. OAS spec gets translated to OpenAI function-calling definitions enabling seamless service parameter resolution.
DataStax is now integrated with @Haystack_AI, making it simple for #Python developers to store data and execute RAG using Haystack pipelines. 🔗 Check out how to build a RAG application using Haystack & Astra DB vector search ⬇️ dtsx.io/3IhacQ7
After banging my head against @LangChainAI for days, trying to get it to work with @replicate and @weaviate_io, I have now decided to try @Haystack_AI. Tried some initial tutorials using @huggingface node - liking so far.
Y'all, we just sent out the @Haystack_AI newsletter, and it was an opportunity to look back on February and oh my... So much happened! Thanks to all our partners and community members who expanded our integrations and helped us set up all of our upcoming events this month 🧡…
🔥 Released Sparrow v0.1.3 with agents support Calling agent running with Haystack 2.0 RAG pipeline (with structured JSON output), and executing query over LLM running locally with Ollama 👇 Sparrow - github.com/katanaml/sparr… @Haystack_AI @ollama @pydantic @katana_ml
Building LLM apps with @Haystack_AI is so much easier than with LangChain. Looking forward for the version 2 and Agent module, for now using ConditionalRouter is enough for my project
"My benchmark for large language models" nicholas.carlini.com/writing/2024/m… Nice post but even more than the 100 tests specifically, the Github code looks excellent - full-featured test evaluation framework, easy to extend with further tests and run against many LLMs.…
Streaming support for @ollama generators in @Haystack_AI 2.0 is here 🚀 Set up your models with Ollama, and use them in your full Haystack pipelines like any other Haystack generator component. Here, I'm using a running orca-mini model with Ollama on my local machine. And as a…
🧗♀️ The @awscloud Amazon Bedrock integration now has a new addition, AmazonBedrockChatGenerator, that supports 2 models: @AnthropicAI Claude 2 and @AIatMeta Llama2 💬 This means you can more easily build multi-turn chat interactions into your LLM applications. ➡️ Get started:…
llama.cpp is one of the first tools that comes to mind when running LLMs locally. It uses the efficient quantized GGUF format, dramatically reducing memory requirements and accelerating inference without a GPU! 🏎️ Thanks to @awinml, Haystack now has llama.cpp integration that…
A new guide is up to help you choose a database for your RAG applications 🚀 This is not an easy question to answer and probably depends on a lot of moving parts! With @Haystack_AI you get access to many amazing databases and vector stores, with more being enabled in Haystack…
How to Build Your First RAG Application? I am building a RAG application with @Haystack_AI on @LightningAI Studio Live. Please join me and let’s build this app together. Feel free to drop your questions in the comments. x.com/i/broadcasts/1…
It is only rarely that, after reading a research paper, I feel like giving the authors a standing ovation. But I felt that way after finishing Direct Preference Optimization (DPO) by @rm_rafailov @archit_sharma97 @ericmitchellai @StefanoErmon @chrmanning and @chelseabfinn. This…
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