Tuana @tuanacelik Twitter profile

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Tuana

@tuanacelik

16 days

I’m incredibly happy to announce that our @Haystack_AI short course "Building AI Applications with Haystack" with @AndrewYNg and @DeepLearningAI is out now. Learn how to build AI applications with a step by step course, starting with the basics of the building blocks, and go

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Tuana

@tuanacelik

1 month

You can build quite sophisticated pipelines with LLMs to extract structured outputs. Our new cookbook on @huggingface by @theanakin87 shows you how to build one with @Haystack_AI and NuExtract @numind_ai : a small Language Model fine-tuned for structured data extraction. 1️⃣

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Tuana

@tuanacelik

1 year

What about doing search or QA on videos? Using Whisper with the WhisperTranscriber component in Haystack, we can setup an indexing pipeline that transcribes, cleans and chunks videos from YouTube into our vector database of choice 📺 For example, the script below indexes

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Tuana

@tuanacelik

2 months

New projects for @Haystack_AI and the AI community coming soon! Thank you to @AndrewYNg and @DeepLearningAI for the hospitality last week. And I’m looking forward to sharing our work with everyone 🎸

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Tuana

@tuanacelik

23 days

Advanced RAG with ✨query expansion✨ Query expansion is a technique which is most beneficial in cases where you want to rely on keyword based search, but also want to improve/increase the number of relevant documents you're able to retrieve with a simple keyword query (it

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Tuana

@tuanacelik

2 months

3 days ago @qdrant_engine 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.

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Tuana

@tuanacelik

11 months

We often talk about RAG in terms of simple question-answering, but that's not necessarily the case. What your RAG pipeline does depends on what you instruct the LLM to do, and how good the result is (apart from the LLM itself), depends on the quality and relevance of the context

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Tuana

@tuanacelik

1 year

Today's weekend hack. I hadn't used @weaviate_io embedded before, and I've been meaning to build a Haystack RAG pipeline with Weaviate + some custom components I've built. So here we are. Easy to run in Colab, uses the ReadmeDocsFetcher, with an end result: Generative QA for the

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Tuana

@tuanacelik

1 year

Back with another @huggingface Space demo, this time on retrieval augmented generative QA. Kudos to my colleagues who created this!! See what different approaches produce, with this demo on Silicon Valley Bank data 👇 #NLP #opensource

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Tuana

@tuanacelik

10 months

Open-source friendship across borders 🫶 Today me and @aj__chan met up in Chiang Mai 🇹🇭 Although the conversation was less @Haystack_AI and @weaviate_io , but more mango sticky rice!

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Tuana

@tuanacelik

11 months

What an EVENING! What a turnout! It was soooo great speaking about open source tools to bake LLMs into your applications with #Haystack @weaviate_io and @UnstructuredIO Thank you for helping make this night happen @philipvollet and @ronnyhoesada - here’s to more to come 🍾🥂

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Tuana

@tuanacelik

10 months

The retrieval step is very (very) important for RAG pipelines. We make use of multilingual embedding models like those provided by @cohere to make sure that this step performs well, even over datasets that have documents with multiple languages in them. Check out @bilgeycl 's

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Tuana

@tuanacelik

5 months

Hack Night going strong with @Haystack_AI @weaviate_io @jamdotdev @neosynccloud @github All thanks to the organizational wizard @itsajchan 🥂🥑🚀

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Tuana

@tuanacelik

1 year

Learning @Gradio from @mervenoyann 🤗

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Tuana

@tuanacelik

4 years

İzleyen herkese teşekkürler! Birilerine yararlı olabildiyse ne mutlu bana 🥰

Global AI Hub 🇹🇷

@TurkishAIHub

4 years

YAYINDAYIZ! 🎉 Şu an 1000’den fazla katılımcımızın olduğu bu harika webinarı kaçırmayın:

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Tuana

@tuanacelik

2 years

Started building this the other day with the Haystack PromptNode. Still experimenting with the prompts, as it gives some weird outputs sometimes. The idea is you can get an idea of what the twitter account has been posting about lately.

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Tuana

@tuanacelik

1 year

Use metadata in retrieval augmentation pipelines to reference generated responses 🚀 1. Add the references to each document at indexing time. E.g. in the example app I built with @weaviate_io it was the prompt below where we add the URL of each documentation page 3. Use a clever

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Tuana

@tuanacelik

7 months

Had a great time introducing everyone to @Haystack_AI at #fosdem today. I showed a demo we built together with the community which produces summaries for Hacker News posts. You can find my slides, the code, and all resources on the talk page 👇

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Tuana

@tuanacelik

10 months

We recently added the HuggingFaceLocalGenerator to the @Haystack_AI 2.0 preview package, which meant we can experiment with Zephyr 7B Beta by @huggingface Here's our guide to using Zephyr models on your own data with @theanakin87 👇 Bonus: We used the

Guide to Using Zephyr Models to Generate Answers on Your Data | Haystack

Learn how to use the new Zephyr models in Haystack 2.0 pipelines with the upcoming HuggingFaceLocalGenerator

haystack.deepset.ai

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Tuana

@tuanacelik

1 year

The new Haystack release comes with a Diversity Ranker. What's the point? Well this is how I tried to depict it in the LlamaIndex panel discussion 👇 RAG can be built for many use cases.. We talk about QA a lot, but one type of QA could be Long-Form Question Answering (LFQA).

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Tuana

@tuanacelik

1 year

Just landed in SF for a few weeks of events insanity starting in 2 days! 🌉 See you at: - AI Conference - OpenSearchCon - QCon - PyBay - AI Engineer summit PLUS me and @philipvollet are cooking something up so that too. But first.. ima get some sleep because the jet lag is

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Tuana

@tuanacelik

3 years

This evening #Turkey (which is now one man) withdrew from the Istanbul Convention, a human rights treaty of the Council of Europe to combat violence against women and domestic violence. It was signed in Istanbul in 2011. #istanbulsozlesmesiyasatir

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Tuana

@tuanacelik

5 months

Finally, got around to writing this up! 3 ways to 'chat' with SQL databases: 1️⃣ A simple pipeline that can accept natural language questions and generate SQL queries, returning the result from the database 2️⃣ The same, with an upgrade, which routes unrelated questions to a

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Tuana

@tuanacelik

2 months

Yesterday, my company @deepset_ai released a new German embedding model with @mixedbreadai 🚀 deepset-mxbai-embed-de-large-v1 is now available on @huggingface and you can start using it with @Haystack_AI I wish I spoke German to get the full experience, alas, I do not! But

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Tuana

@tuanacelik

3 years

Last week I started a new chapter of my career by joining @deepset_ai as a Developer Advocate 🎉 Right now I'm spending my time focusing on getting further acquainted with #NLP and #haystack 💻 - I might use twitter to share resources I find helpful in the process. Wish me 🍀

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Tuana

@tuanacelik

1 year

Are you in SF looking for something fun to do next week? Join me, @philipvollet from @weaviate_io and @UnstructuredIO for tacos and drinks 🌮 and of course a lovely last minute meetup where we talk about production LLM applications 👇 October 2nd!!

Sharing our tricks and magic for pushing generative AI applications into production with open...

Join us for a fun evening with snacks, drinks, and lots of knowledge to unlock the true potential of AI! Integrate your vast internal knowledge base, build…

lu.ma

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Tuana

@tuanacelik

2 years

Haystack 1.6 is out with a feature highlight from me - You can now call ✨save_to_remote✨ on a model trained with Haystack to save it to the @huggingface Model Hub 🤗 - Next we plan to implement pushing a draft model card. I've made contributions before, but this one wins.

deepset

@deepset_ai

2 years

@huggingface ...And more! Check out our full release notes here:

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Tuana

@tuanacelik

3 years

Yürüdü yürüdü Gökova Körfezine geldi hala yanıyor ve mücadele veren büyük ölçüde hala halk. Artık #Yard ımlarıKabulEdin

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Tuana

@tuanacelik

5 months

Want to chat with your SQL databases? I've built a mini demo that does just that. In this colab you'll find: · A simple pipeline that allows you to generate SQL queries from natural language and query a database · A pipeline with conditional routing, this allows you to check

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Tuana

@tuanacelik

14 days

🧵Here's a cookbook (in draft) that shows you how you can use query decomposition to resolve complex queries that require to be broken down for RAG to work effectively 👇 In this example I used: - The structured output option with @OpenAI (which is in beta) to create an

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Tuana

@tuanacelik

1 year

The @deepset_ai team low key representing @huggingface at @pycon with all the #Haystack demos today. Bringing the 🤗 to Salt Lake City.. (PS: I’m gutted to be missing @mmitchell_ai on Sunday!)

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Tuana

@tuanacelik

6 months

Today we released @Haystack_AI 2.0 and one thing I love about this release which we haven't spoken much about is how the code is a lot more self-explanatory. While Haystack 1.0 supported many model providers like OpenAI, Cohere, Amazon Bedrock etc, it was often "hidden" inside

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Tuana

@tuanacelik

1 year

I've built another demo on 🤗 @huggingface Spaces. This time, I figured why not use an Agent. It has 2 tools: 🛜 WebSearch and a custom Haystack node I built called the TwitterRetriever. The idea: 'What would xyz username tweet about abc topic?' Oh yea, and I called it 'What

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Tuana

@tuanacelik

10 months

What a weekend! Congrats to everyone who participated in the @AnthropicAI Hackathon and a big kudos to the finalists and winners. For me, it was the first time judging a hackathon and I loved it! Great to see so many cool @Haystack_AI projects!!

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Tuana

@tuanacelik

1 year

The Haystack @streamlit search application template repository has expanded to accept command-line arguments. Use the template and set your options in the run command. Examples below 🤗 1. Set your --store to be @OpenSearchProj , @weaviate_io , @milvusio or simply In Memory 2.

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Tuana

@tuanacelik

1 year

Building a retrieval-augmented generative pipeline is one thing, but deploying it to production for many (many) people to use is another. Fortunately, I have colleagues at @deepset_ai who do exactly that, deploying Haystack pipelines, on a daily basis 🤗 Kristof and Isabelle 💙

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Tuana

@tuanacelik

10 months

The @AnthropicAI hackathon with @cerebral_valley is starting! Come say hi at the @Haystack_AI booth and grab some stickers 👋

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Tuana

@tuanacelik

5 months

This evening was so much fun! Thank you to @craigsdennis and @crtr0 for taking part in our first Bay Area meetup of 2024 💛 And as always, great to have the amazing @itsajchan with us ⭐️⭐️🥑🥑🚀

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Tuana

@tuanacelik

1 year

Speaking at @pycon today in just over an hour. First time here, wish me luck 🍀

deepset

@deepset_ai

1 year

📢 Presentation alert 📢 Learn how to develop smart NLP-driven apps with Haystack. 💡 Don't miss @tuanacelik talk at @pycon today! Check out the agenda to learn more 👇

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Tuana

@tuanacelik

6 months

Was such a pleasure speaking at @wtm_berlin this evening 🩵 For me, it was also a new kind of talk. It gave me the opportunity to look back at @deepset_ai and @Haystack_AI , our journey in AI, where it all started, and also, how I ended up finding myself in this field 🥑

Women Techmakers Berlin

@wtm_berlin

6 months

On the stage now is @tuanacelik from @deepset_ai sharing next generation AI app Haystack #IWD2024 #WTM @WomenTechmakers

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Tuana

@tuanacelik

1 year

The @deepset_ai devrel team representing Haystack at @pyconit 🎉 looking forward to the talk by Stefano Fiorucci tomorrow too

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Tuana

@tuanacelik

10 months

I'm hosting a @Haystack_AI workshop at the @AnthropicAI Hackathon at 4:30 PM 👇 1️⃣ Interacting with Claude using Haystack 2️⃣ Building Retrieval-Augmented Generative Pipelines 3️⃣ Creating Custom Components with Haystack for custom RAG applications 4️⃣ Indexing Pipelines with

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Tuana

@tuanacelik

6 months

I am so so happy to share that we've released the stable version of @Haystack_AI 2.0 just now. This has been a long time coming. I'm so grateful to the Haystack community that supported us in making this a success throughout the beta phase ⭐️🧡

Haystack

@Haystack_AI

6 months

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.

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Tuana

@tuanacelik

1 year

Climate QA Chatbot on @huggingface spaces by @ekimetrics Probably one of the most comprehensive spaces I've seen. Generative QA on a set of climate related datasets: currently, the IPCC report as far as I can tell. Another example of retrieval augmented generative QA. Uses

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Tuana

@tuanacelik

7 months

Want to use @MistralAI in your @Haystack_AI pipelines? We've just added a cookbook that shows you how to do that 🙌 This cookbook will show you how to: - Use Mistral embeddings to write documents with their embeddings into any supported Haystack 2.0 vector store. - Use

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Tuana

@tuanacelik

9 months

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

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Tuana

@tuanacelik

2 years

🧵Data-centric AI formalizes the approach of systematically engineering data to build good AI systems. TLDR: care about the data you use too, not just model architecture.

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Tuana

@tuanacelik

5 months

So excited for what's coming up this week 🚀I'm back in SF which means: 1. I get a full week working together, in-person with @bilgeycl and @annthurium 2. @Haystack_AI has a hack night coming up tomorrow with @weaviate_io @jamdotdev and @neosynccloud 👉

Hack Night at GitHub! · Luma

🎉 Join us for an exciting evening of challenges and camaraderie at our upcoming developer event with Weaviate.io, Jam.dev, NeoSync.dev, and the…

lu.ma

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Tuana

@tuanacelik

7 months

It's been a while! But I'm back on @huggingface spaces. I present to you, Hacker News summaries 🧡 This space uses Mixtral-8x7B-Instruct-v0.1 by @MistralAI using Hugging Face TGI. Go ahead and get summaries of the current top Hacker News posts 🫶 Next, I'll add the option to

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Tuana

@tuanacelik

4 years

Finally got around to it and here I present to you the first Python package for @cumul_io (and my first package on PyPI ever) 🎉 Calling @cumul_io users: use it, criticize it, create issues, it can only get better 🙂

cumulio

[DEPRECATED - use luzmo-sdk instead] Cumulio Python SDK for the Core API

pypi.org

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Tuana

@tuanacelik

16 days

Enroll in "Building AI Applications with Haystack" here 👉 And a massive thank you to @bilgeycl @Julian_Risch and Madeesh Kannan for their help creating this course 🧡

Building AI Applications with Haystack - DeepLearning.AI

Learn a flexible framework to build a variety of complex AI applications.

www.deeplearning.ai

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Tuana

@tuanacelik

6 months

I had the pleasure of sharing @Haystack_AI 2.0 at the SmartNation hackathon with @ai4_belgium and @fodspfbosa yesterday 🧡 We're around for the next 2 days to help the teams out with @Julian_Risch and @DavidSBatista ⭐️ (David: "We do consultancy in exchange for Belgian beer 🍻")

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Tuana

@tuanacelik

1 year

A notebook to try #Haystack Agents by Stefano Fiourucci 🎉 Concept: 📚 We have a reading list ❓We create a tool with a Question Answering component to answer questions about my reading list 🔎 We create a Search tool 🔎🌐, which can browse the web and find information Test

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Tuana

@tuanacelik

1 year

Last week we spoke a lot about RAG for production, and one topic came up a lot in our panel discussion with @jerryjliu0 @bobvanluijt and @md_rumpf —> Hybrid Retrieval and filtering. Why? Because while it’s important to hand over the relevant context to LLMs, depending on the

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Tuana

@tuanacelik

2 years

We've added the first QA evaluation result to the @huggingface Hub leader board for @deepset_ai 's roberta-base-squad2 model 🎉 evaluated with the squadV2 dataset and the new Hugging Face model evaluator. Thank you @_lewtun ! Let's get more models up there!

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Tuana

@tuanacelik

2 years

Honestly, loving seeing people post screenshots of what our cleverly crafted prompt and text-davinci-003 has to say about their twitter account. However.. Just added a word of warning to the space 🤗 Enjoy it folks 🦄 I may need to change the OpenAI key to be user input soon.

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Tuana

@tuanacelik

4 months

Come say hi to the @Haystack_AI team at @pycon 👋 Our first talk about the rewrite of Haystack is in Room 309 at 1:30PM (For those who remember, grumpy @SilvanoCerza is still grumping)

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Tuana

@tuanacelik

1 year

Woke up to a nice surprise to #Haystack @deepset_ai trending on GitHub 🚀🥳 The best open-source framework for LLMs made and supported by the best team and NLP community 🙏 #opensource #nlp #python

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Tuana

@tuanacelik

4 years

Yarın 15:15’de Boğaziçi DataCamp paneli 🙌🏽🙌🏽

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Tuana

@tuanacelik

1 year

Started with a panel discussion with @jerryjliu0 and now a lunchtime lightning talk at @AIconference 🍔 Want to learn about why and how to use diversity ranking? Or ranking for RAG pipelines in general? I'll be speed walking through the topic of ranking in a 10 minute lightning

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Tuana

@tuanacelik

1 year

Summarize the latest Hacker News posts with a custom LLM pipeline 🚀 Customizing RAG pipelines to your needs is getting a lot easier with the upcoming Haystack 2.0. Last week we had a coding session with the community and built a custom component with the available Haystack 2.0

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Tuana

@tuanacelik

1 year

Really enjoyed our talk with @bymiachang and @gor_dmi at #AWSSummit today. A lot about Generative AI and how to deploy and scale NLP applications 🙏 Looking forward to more of these

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Tuana

@tuanacelik

2 years

Built my first question answering demo with #Haystack on @huggingface Spaces 🤗🎉 Check it out here, uses @deepset_ai distilled robreta-squad2 model:

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Tuana

@tuanacelik

2 years

To all who enjoyed the 🦄 'Should I follow?' demo on @huggingface It's been a pleasure seeing all the screenshots come in of how you were 'judged' as a Twitter personality 🙌 The space is still live, but users input their own key to use it now

Should I follow? - a Hugging Face Space by deepset

huggingface.co

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Tuana

@tuanacelik

1 year

Here's a short intro by myself and Sara into how you can start using the new PromptHub. The idea is to create a one-stop shop for all prompts that we've used with Haystack and to be able to use what others in the community have also built 👇

Share and Use Prompts with PromptHub | Haystack

A new tool to pull in prompts into your Haystack PromptNode, share them, and collaborate

haystack.deepset.ai

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Tuana

@tuanacelik

1 year

DevRel gathering at @AIconference with @ecardenas300 and @yujian_tang 💙🥑

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Tuana

@tuanacelik

1 year

LLM support has been growing sooo much with Haystack lately. And so are community contributions. This was just merged to the main branch thanks to some amazing community effort too. You can now use @OpenAI Chat-GPT model with Haystack. I just created my own mini chat app 👇

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Tuana

@tuanacelik

1 year

Very happy to see this new Haystack integration by @traceloopdev adding observability to your Haystack LLM pipelines. Visualize each step of your pipeline, monitor queries and responses, all while using open source tooling in your development cycle. For example, here's the

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Tuana

@tuanacelik

1 year

Write up 👉

Generative Documentation Q&A with Weaviate and Haystack

A guide to building a retrieval augmented generative pipeline for referenced documentation search.

medium.com

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Tuana

@tuanacelik

2 years

A project from the people at @intel Labs: fastRAG has some cool implementations of custom Haystack nodes. One of them is the Knowledge Graph Creator: "Use with any retrieval pipeline to extract Named Entities (NER) and generate relation-maps"

GitHub - IntelLabs/fastRAG: Efficient Retrieval Augmentation and Generation Framework

Efficient Retrieval Augmentation and Generation Framework - IntelLabs/fastRAG

github.com

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Tuana

@tuanacelik

1 year

If anyone is interested in watching me in my first talk where I truly felt like I'm over my stage fright. Here's me talking at @pycon about LLM-based Agents with Haystack open source. I really enjoyed this talk. Glad the recording is out 🎉

Sponsor Presentation - Tuana Celik: Building LLM-based Agents

Full title: Building LLM-based Agents: How to develop smart NLP-driven apps with HaystackSponsor: deepsetLarge Language Models (LLMs), like ChatGPT, have tak...

www.youtube.com

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Tuana

@tuanacelik

11 months

We may be at the far end of the corridor, but we have some cool swag. Come find the @Haystack_AI team (me and grumpy Silvano…on brand) at @aiDotEngineer 💙

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Tuana

@tuanacelik

11 months

Come say hi to me and Silvano at @py_bay today. We’re the 2 dorks in our #Haystack bucket hats. You can also catch us at Bungalow West at 1:15PM where we will talk about retrieval and ranking for generative AI

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Tuana

@tuanacelik

2 years

This blue blob is an extractive QA model. It looks through that stack of text to find the answer to a question it was asked. It doesn't have the answers, but is pretty good at searching for them. I call the blue blob Roberta #NLP #NLProc #Transformers #MachineLearning

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Tuana

@tuanacelik

4 months

I had such a great time at @pycon this past week. • Me and Massi talked about the rewrite of @Haystack_AI • We a AI happy hour with @DataStax with AMAZING turnout thanks to @annthurium and @crtr0 🍾⭐️💕 • I gave my talk on approaching AI applications as a graph • Lots of

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Tuana

@tuanacelik

2 years

Today was a special one. My first in person talk since starting at @deepset_ai We talked about Semantic Search and how to build a question answering application with #Haystack Thank you to @odsc for hosting 🥳 and to everyone who attended #NLP #MachineLearning

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Tuana

@tuanacelik

1 year

One approach to retrieval augmentation is to use the ultimate source of information for the retrieval step: the web 🌎 But what if you need to focus on one part of the web? @vladblagoje recently wrote about some tools we provide in Haystack to do just that. And here's my summary

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Tuana

@tuanacelik

11 months

Metadata is useful. For quite a few reasons. But here's a couple of them, with examples: 1. Further augment context: This is particularly useful for retrieval augmentation. Metadata can include lots of extra information about retrieved documents that might be useful for a RAG

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Tuana

@tuanacelik

4 months

Our swag game for @pycon this year has taken a leap. Free tattoos at the @Haystack_AI booth people!

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Tuana

@tuanacelik

11 days

I’m taking a little break after a long and busy period of work. Have some views from home 🧿 I’ll be back to AI after a few days of sea views 🥂

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Tuana

@tuanacelik

10 days

Last week we published a new short course with @DeepLearningAI : "Building AI Applications with Haystack" The course is designed to take a step by step approach to building agentic AI applications, starting with the simplest building blocks of @Haystack_AI . One by one, you learn

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Tuana

@tuanacelik

3 months

Conferences are great because I get to see lots of friends again 🤍Looking forward to talking about how we build AI applications with @Haystack_AI at #aidev tomorrow!

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Tuana

@tuanacelik

1 year

Haystack v1.15 @deepset_ai comes with a huge addition to our ecosystem: 🕵️ Agents. I've learned a lot about LLMs and prompting lately. And an Agent at its core is an LLM given a very clever prompt 👇

Introducing Agents in Haystack: Make LLMs resolve complex tasks | Haystack

LLMs can now make use of the right tools to resolve complex queries and tasks

haystack.deepset.ai

deepset

@deepset_ai

1 year

⭐️ Announcing the new Haystack release ⭐️ Highlights from Haystack v1.15:: 🕵️ Haystack Agents: decision makers for your NLP applications! 🧠 #ChatGPT integration to build your own chat functions! ..and much more. Check out full release notes👇

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Tuana

@tuanacelik

1 year

This was a fun project with @LGFunderburk Using Haystack Agents and Jupysql by @ploomber to create a system that can 1. Convert user input into a SQL query 2. Query the live SQL db in your notebook 3. Get the answer and respond back in human language 👇

Query Your Dataset with Natural Language Using JupySQL and Haystack Agents

In this blog we will share how you can combine Haystack and JupySQL to build and interact with an autonomous agent that can translate your NLP questions into SQL queries and return a response

ploomber.io

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Tuana

@tuanacelik

7 months

What a great way to kick off 2024 events and meetups 💜 Thank you very much to everyone who joined us yesterday, whether that was in London or online! The demo I shared was about creating GitHub issues for a specific repository using meeting notes and validating the output with

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Tuana

@tuanacelik

11 months

Are you looking to contribute to open-source for the first time? The first few issues we have open in Haystack for #hacktoberfest participants are already closed 🫶 Join @bilgeycl and the rest of the Haystack team to get your PRs merged on one of the best open-source projects out

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Tuana

@tuanacelik

4 years

What’s happening in Istanbul: For the last few months, students and academics at Bogazici University and those of us who support them have been trying to peacefully protest the corrupt way a new rector was appointed. #AsagiBakmayacagiz #BogaziciAblukada #BogaziciSusmayacak

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Tuana

@tuanacelik

10 months

Check out the ⚡️lightning talk I gave at the @AIconference last month: Taking retrieval-augmented generative pipelines with @Haystack_AI to the next level with document ranking 🫶 A couple of things about the video: 1. Say hi to @philipvollet 😅 I love the little head bop up at

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Tuana

@tuanacelik

1 year

Build referenced documentation Q&A with Haystack and @weaviate_io . Enjoy a light weekend read on a custom RAG pipeline, accompanied by a Colab 💙 A Saturday well spent 👇 1️⃣ A custom Haystack component to fetch and preprocess documentation sites hosted on ReadMe 2️⃣ Weaviate

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Tuana

@tuanacelik

4 months

Video 2 of my career. Learn how to build Evaluation Pipelines with @Haystack_AI 's latest release that introduced a number of both statistical and model-based evaluators. In this coding session, we're walking through the Evaluating RAG tutorial (link in comments). Retrieval

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Tuana

@tuanacelik

3 years

I wrote something late last night. I am not a reporter, please forgive any mistakes and misjudgments. I am just someone who is hurting seeing what’s happening in my country.

Wildfires in Turkey

As I write this, it feels as if we are living the end game in Turkey. The fires that have been raging in the South West region have now…

tuanacelik.medium.com

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Tuana

@tuanacelik

9 months

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,

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Tuana

@tuanacelik

1 year

In today's office hours we had a long chat about agents, complex queries where the intent of the user has to be understood before invoking a tool, and how in some cases search over structured data would be needed before moving on to the next task... One thing that came up was

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Tuana

@tuanacelik

1 year

🤖 A GitHub end of day bot summarizing your days GitHub activity? Look no further because my colleague @ArzelaAscoli1 has built a project doing just this with #Haystack and @OpenAI Check out his GitHub repo for instructions on how to run this for yourself. I'm thinking, another

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Tuana

@tuanacelik

16 days

Very much looking forward to this in a couple of weeks 🚀 Who's in London??

Open Data Science

@_odsc

16 days

We couldn’t be more excited to announce that Tuana Çelik @tuanacelik , Developer Relations Lead at Deepset, will be speaking at #ODSCEurope this September. ✅ Register Now – Limited Passes Available 🔥

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Tuana

@tuanacelik

1 year

Thank you @aicampai and @ml6team for hosting this meetup today. Really enjoyed talking about Haystack and meeting you all. This won’t be the last meetup in Amsterdam.

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Tuana

@tuanacelik

1 year

And so continues the great escape from Turkey for many young, talented people in the country. I feel sick to my core. I miss home. But it only exists in a sort of fictional past tense.

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Tuana

@tuanacelik

1 year

With LLMs, there's a lot of discussion about whether we should fine-tune or train our own model for any given application. But a winning technique in many maaany scenarios is Retrieval Augmented Generation (RAG). Isabelle has written this great piece on why to RAG, what it is,

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Tuana

@tuanacelik

5 months

Check out this great piece of work by @bilgeycl and @misraturp combining @Haystack_AI and @AssemblyAI 🧡 In this video + cookbook, they use the Assembly AI integration for Haystack that covers: · Speaker diarization on a multi-speaker audio file · Labels the transcript with

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Tuana

@tuanacelik

1 year

Build retrieval augmented generation (RAG) on GitHub repositories 🚀 Haystack 2.0 is on the way and as we introduce more components into our preview package, we're able to build so much more. A few weeks ago I built a custom Haystack 2.0 component for the @UnstructuredIO

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