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title: "Haystack" | ||
description: A stable, powerful and flexible LLM framework written in Python for RAG and Agent application | ||
date: 2023-12-31 | ||
featuredImage: "/projects/haystack-2.0.png" | ||
--- | ||
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[Haystack](https://haystack.deepset.ai/) is an [open-source](https://github.com/deepset-ai/haystack) end-to-end framework that allows you to build applications powered by LLMs, Transformer models, vector search and more. Whether you want to perform retrieval-augmented generation (RAG), document search, question answering, or build agent-based workflows, Haystack can orchestrate state-of-the-art embedding models and LLMs into pipelines to build end-to-end NLP applications and solve your use case. Haystack has also an active [Discord](https://discord.com/invite/xYvH6drSmA) community you can join to learn more about the framework and get help if you face problems. | ||
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In early 2024 Haystack published a [major release (2.0)](https://haystack.deepset.ai/release-notes/2.0.0), which was a full redesign of the framework. During my time at [deepset](https://www.deepset.ai/) leading this redesign has been one of my major accomplishments. |
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title: "Intentional" | ||
description: Easy to control, multimodal chatbots that scale. | ||
date: 2024-12-01 | ||
featuredImage: "/projects/intentional.png" | ||
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[Intentional](https://github.com/intentional-ai/intentional/) is an open-source framework to build reliable chatbots that actually do what you expect from them. | ||
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Pure LLM-based chatbots are very hard to control: when a lot of very specific instructions are pushed into their system prompt, their performance will get worse and worse the more instructions you add. These bots will work very well on small demos, but don't scale to real use cases, where you may need the bot to follow a very specific set of workflows depending on the situation it find itself in, without improvising. | ||
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Intentional introduces a new way of prompting the LLM in a way that gives the developer full control on the conversation at scale while retaining the smooth conversational skills of the LLM. | ||
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Intentional is still in its very early stages: [get in touch](https://github.com/intentional-ai/intentional/issues) if you want to give any feedback or contribute! |
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title: "PyData Global: Building LLM Voice Bots with Open Source Tools" | ||
date: 2024-12-03 | ||
author: "ZanSara" | ||
featuredImage: "/talks/2024-12-03-pydata-global-voice-bots.png" | ||
externalLink: https://global2024.pydata.org/cfp/talk/T3YDBP/ | ||
--- |
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