mirror of
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docs: Update documentation text with changes after rebranding (#10272)
* Update documentation text with rebranding * minor updates to the text * Update 2.21 versions of the docs pages * Change banner image on README * add alt text for the new image
This commit is contained in:
Bilge Yücel
23
README.md
23
README.md
@@ -1,5 +1,5 @@
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<div align="center">
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<a href="https://haystack.deepset.ai/"><img src="https://raw.githubusercontent.com/deepset-ai/haystack/main/images/banner.png" alt="Green logo of a stylized white 'H' with the text 'Haystack, by deepset.' Abstract green and yellow diagrams in the background."></a>
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<a href="https://haystack.deepset.ai/"><img src="https://raw.githubusercontent.com/deepset-ai/haystack/main/images/banner.png" alt="Blue banner with the Haystack logo and the text ‘haystack by deepset – The Open Source AI Framework for Production Ready RAG & Agents’ surrounded by abstract icons representing search, documents, agents, pipelines, and cloud systems."></a>
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| | |
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| ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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@@ -21,8 +21,7 @@ and LLMs into pipelines to build end-to-end NLP applications and solve your use
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- [Features](#features)
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- [Use Cases](#features)
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- [Hayhooks (REST API Deployment)](#-tip-1)
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- [Haystack Enterprise](#haystack-enterprise-best-practices-and-expert-support)
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- [deepset Studio](#-deepset-studio-your-development-environment-for-haystack)
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- [Haystack Enterprise Starter](#haystack-enterprise-best-practices-and-expert-support)
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- [Telemetry](#telemetry)
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- [🖖 Community](#-community)
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- [Contributing to Haystack](#contributing-to-haystack)
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@@ -76,24 +75,14 @@ Some examples of what you can do with Haystack:
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>
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> Would you like to deploy and serve Haystack pipelines as REST APIs yourself? [Hayhooks](https://github.com/deepset-ai/hayhooks) provides a simple way to wrap your pipelines with custom logic and expose them via HTTP endpoints, including OpenAI-compatible chat completion endpoints and compatibility with fully-featured chat interfaces like [open-webui](https://openwebui.com/).
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## Haystack Enterprise: Best Practices and Expert Support
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## Haystack Enterprise Starter: Best Practices and Expert Support
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Get expert support from the Haystack team, build faster with enterprise-grade templates, and scale securely with deployment guides for cloud and on-prem environments - all with **Haystack Enterprise**. Read more about it our [announcement post](https://haystack.deepset.ai/blog/announcing-haystack-enterprise).
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Get expert support from the Haystack team, build faster with enterprise-grade templates, and scale securely with deployment guides for cloud and on-prem environments - all with **Haystack Enterprise Starter**. Read more about it the [announcement post](https://haystack.deepset.ai/blog/announcing-haystack-enterprise).
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👉 [Get Haystack Enterprise](https://www.deepset.ai/products-and-services/haystack-enterprise?utm_source=github.com&utm_medium=referral&utm_campaign=haystack_enterprise)
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👉 [Get Haystack Enterprise Starter](https://www.deepset.ai/products-and-services/haystack-enterprise?utm_source=github.com&utm_medium=referral&utm_campaign=haystack_enterprise)
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## deepset Studio: Your Development Environment for Haystack
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Use **deepset Studio** to visually create, deploy, and test your Haystack pipelines. Learn more about it in our [announcement post](https://haystack.deepset.ai/blog/announcing-studio).
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👉 [Sign up](https://landing.deepset.ai/deepset-studio-signup)!
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> [!TIP]
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><img src="https://github.com/deepset-ai/haystack/raw/main/images/deepset-platform-logo-alternative.jpeg" width=20%>
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>
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> Are you looking for a managed solution that benefits from Haystack? [deepset AI Platform](https://www.deepset.ai/products-and-services/deepset-ai-platform?utm_campaign=developer-relations&utm_source=haystack&utm_medium=readme) is our fully managed, end-to-end platform to integrate LLMs with your data, which uses Haystack for the LLM pipelines architecture.
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> Are you looking for a managed solution that benefits from Haystack? [Haystack Enterprise Platform](https://www.deepset.ai/products-and-services/deepset-ai-platform?utm_campaign=developer-relations&utm_source=haystack&utm_medium=readme) is a fully managed, end-to-end platform to integrate LLMs with your data, which uses Haystack for the LLM pipelines architecture.
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## Telemetry
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@@ -1,13 +1,13 @@
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---
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title: "Visualizing Pipelines"
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title: "Visualizing Haystack Pipelines"
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id: visualizing-pipelines
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slug: "/visualizing-pipelines"
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description: "You can visualize your pipelines as graphs to better understand how the components are connected."
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description: "You can visualize your Haystack AI pipelines as graphs to better understand how the components are connected."
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---
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import ClickableImage from "@site/src/components/ClickableImage";
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# Visualizing Pipelines
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# Visualizing Haystack Pipelines
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You can visualize your pipelines as graphs to better understand how the components are connected.
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@@ -82,8 +82,8 @@ This is an example of what a pipeline graph may look like:
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<br />
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## Importing a Pipeline to deepset Studio
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## Importing a Pipeline to Haystack Enterprise Platform
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You can import your Haystack pipeline into deepset Studio and continue visually building your pipeline
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You can import your Haystack pipeline into Haystack Enterprise Platform and continue visually building your pipeline
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To do that, follow the steps described in our deepset AI Platform [documentation](https://docs.cloud.deepset.ai/docs/import-a-pipeline#import-your-pipeline).
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To do that, follow the steps described in Haystack Enterprise Platform [documentation](https://docs.cloud.deepset.ai/docs/import-a-pipeline#import-your-pipeline).
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@@ -27,9 +27,9 @@ Haystack can be easily integrated into any HTTP application, but if you don’t
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:::note Looking to scale with confidence?
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If your team needs **enterprise-grade support, best practices, and deployment guidance** to run Haystack in production, check out **Haystack Enterprise**.
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If your team needs **enterprise-grade support, best practices, and deployment guidance** to run Haystack in production, check out **Haystack Enterprise Starter**.
|
||||
|
||||
📜 [Learn more about Haystack Enterprise](https://haystack.deepset.ai/blog/announcing-haystack-enterprise)
|
||||
📜 [Learn more about Haystack Enterprise Starter](https://haystack.deepset.ai/blog/announcing-haystack-enterprise)
|
||||
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👉 [Get in touch with our team](https://www.deepset.ai/products-and-services/haystack-enterprise)
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:::
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@@ -1,12 +1,12 @@
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---
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title: "Introduction to Haystack"
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id: intro
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description: "Haystack is an **open-source AI framework** for building production-ready **AI Agents**, **retrieval-augmented generative pipelines** and **state-of-the-art multimodal search systems**. Learn more about Haystack and how it works."
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description: "Haystack is an open-source AI framework to build production-ready LLM applications such as **AI Agents, powerful RAG applications and scalable multimodal search systems. Learn more about Haystack and how it works."
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---
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# Introduction to Haystack
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Haystack is an **open-source AI framework** for building production-ready **AI Agents**, **retrieval-augmented generative pipelines** and **state-of-the-art multimodal search systems**. Learn more about Haystack and how it works.
|
||||
Haystack is an **open-source AI framework** for building production-ready **AI Agents**, **powerful RAG applications** and **scalable multimodal search systems**. Build pipelines using reusable components, each responsible for specific tasks. Customize and extend pipelines to match your requirements. Learn more about Haystack and how it works.
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:::tip Welcome to Haystack
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@@ -15,7 +15,7 @@ To skip the introductions and go directly to installing and creating a search ap
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Haystack is an open-source AI orchestration framework that you can use to build powerful, production-ready applications with Large Language Models (LLMs) for various use cases. Whether you’re creating autonomous agents, multimodal apps, or scalable RAG systems, Haystack provides the tools to move from idea to production easily.
|
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Haystack is designed in a modular way, allowing you to combine the best technology from OpenAI, Google, Anthropic, and open-source projects like Hugging Face's Transformers or Elasticsearch.
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Haystack is designed in a modular way, allowing you to combine the best technology from OpenAI, Google, Anthropic, and open-source projects like Hugging Face's Transformers.
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The core foundation of Haystack consists of components and pipelines, along with Document Stores, Agents, Tools, and many integrations. Read more about Haystack concepts in the [Haystack Concepts Overview](concepts/concepts-overview.mdx).
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@@ -23,9 +23,9 @@ Supported by an engaged community of developers, Haystack has grown into a compr
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:::note Looking to scale with confidence?
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If your team needs **enterprise-grade support, best practices, and deployment guidance** to run Haystack in production, check out **Haystack Enterprise**.
|
||||
If your team needs **enterprise-grade support, best practices, and deployment guidance** to run Haystack in production, check out **Haystack Enterprise Starter**.
|
||||
|
||||
📜 [Learn more about Haystack Enterprise](https://haystack.deepset.ai/blog/announcing-haystack-enterprise)
|
||||
📜 [Learn more about Haystack Enterprise Starter](https://haystack.deepset.ai/blog/announcing-haystack-enterprise)
|
||||
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👉 [Get in touch with our team](https://www.deepset.ai/products-and-services/haystack-enterprise)
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||||
:::
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@@ -19,13 +19,13 @@ We only collect _anonymous_ usage statistics of Haystack pipeline components. Re
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### How can I ask my questions around Haystack?
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||||
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For general questions, we recommend joining the [Haystack Discord ](https://discord.com/invite/xYvH6drSmA)or using [GitHub discussions](https://github.com/deepset-ai/haystack/discussions), where the community and maintainers can help. You can also explore [tutorials](https://haystack.deepset.ai/tutorials/40_building_chat_application_with_function_calling) and [examples](https://haystack.deepset.ai/cookbook/tools_support) on our website to find more info.
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For general questions, we recommend joining the [Haystack Discord ](https://discord.com/invite/xYvH6drSmA)or using [GitHub discussions](https://github.com/deepset-ai/haystack/discussions), where the community and maintainers can help. You can also explore [tutorials](https://haystack.deepset.ai/tutorials/40_building_chat_application_with_function_calling) and [examples](https://haystack.deepset.ai/cookbook/tools_support) on website to find more info.
|
||||
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### How can I get expert support for Haystack?
|
||||
|
||||
If you’re a team running Haystack in production or want to move faster and scale with confidence, we recommend [Haystack Enterprise](https://haystack.deepset.ai/blog/announcing-haystack-enterprise). It gives you direct access to the Haystack team, proven best practices, and hands-on support to help you go from prototype to production smoothly.
|
||||
If you’re a team running Haystack in production or want to move faster and scale with confidence, we recommend [Haystack Enterprise Starter](https://haystack.deepset.ai/blog/announcing-haystack-enterprise). It gives you direct access to the Haystack team, proven best practices, and hands-on support to help you go from prototype to production smoothly.
|
||||
|
||||
👉 [Get in touch with our team to explore Haystack Enterprise](https://www.deepset.ai/products-and-services/haystack-enterprise)
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||||
👉 [Get in touch with our team to explore Haystack Enterprise Starter](https://www.deepset.ai/products-and-services/haystack-enterprise)
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### Where is the documentation for Haystack 2.17 and older?
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@@ -51,16 +51,16 @@ Here's a table of key concepts and their approximate equivalents between the two
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At deepset, we're building the tools to make LLMs truly usable in production, open source and beyond.
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* [Haystack, AI Orchestration Framework](https://github.com/deepset-ai/haystack) → Open Source AI framework for building production-ready, AI-powered agents and applications, on your own or with community support.
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* [Haystack Enterprise](https://www.deepset.ai/products-and-services/haystack-enterprise) → Private and secure engineering support, advanced pipeline templates, deployment guides, and early access features for teams needing more support and guidance.
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* [deepset AI Platform](https://www.deepset.ai/products-and-services/deepset-ai-platform) → An enterprise-ready platform for teams running Gen AI apps in production, with security, governance, and scalability built in with [a free version](https://www.deepset.ai/deepset-studio).
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* [Haystack Enterprise Starter](https://www.deepset.ai/products-and-services/haystack-enterprise) → Private and secure engineering support, advanced pipeline templates, deployment guides, and early access features for teams needing more support and guidance.
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* [Haystack Enterprise Platform](https://www.deepset.ai/products-and-services/deepset-ai-platform) → An enterprise-ready platform for teams running Gen AI apps in production, with security, governance, and scalability built in with [a free version](https://www.deepset.ai/deepset-studio).
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Here's the product equivalent of two ecosystems:
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| **LangChain Ecosystem** | **Haystack Ecosystem** | **Notes** |
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| --- | --- | --- |
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| **LangChain, LangGraph, Deep Agents** | **Haystack** | **Core AI orchestration framework for components, pipelines, and agents**. Supports deterministic workflows and agentic execution with explicit, modular building blocks. |
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| **LangSmith (Observability)** | **deepset AI Platform** | **Integrated tooling for building, debugging and iterating.** Assemble agents and pipelines visually with the **Builder**, which includes component validation, testing and debugging. The **Prompt Explorer** is used to iterate and evaluate models and prompts. Built-in chat interfaces to enable fast SME and stakeholder feedback. Collaborative building environment for engineers and business. |
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| **LangSmith (Deployment)** | **Hayhooks** **Haystack Enterprise** (deployment guides + advanced best practice templates) **deepset AI Platform** (1-click deployment, on-prem/VPC options) | Multiple deployment paths: lightweight API exposure via [Hayhooks](https://github.com/deepset-ai/hayhooks), structured enterprise deployment patterns through Haystack Enterprise, and full managed or self-hosted deployment through the deepset AI Platform. |
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| **LangSmith (Observability)** | **Haystack Enterprise Platform** | **Integrated tooling for building, debugging and iterating.** Assemble agents and pipelines visually with the **Builder**, which includes component validation, testing and debugging. The **Prompt Explorer** is used to iterate and evaluate models and prompts. Built-in chat interfaces to enable fast SME and stakeholder feedback. Collaborative building environment for engineers and business. |
|
||||
| **LangSmith (Deployment)** | **Hayhooks** **Haystack Enterprise Starter** (deployment guides + advanced best practice templates) **Haystack Enterprise Platform** (1-click deployment, on-prem/VPC options) | Multiple deployment paths: lightweight API exposure via [Hayhooks](https://github.com/deepset-ai/hayhooks), structured enterprise deployment patterns through Haystack Enterprise Starter, and full managed or self-hosted deployment through the Haystack Enterprise Platform. |
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## Code Comparison
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@@ -209,7 +209,7 @@ const config = {
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title: 'More',
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items: [
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{ label: 'Integrations', href: 'https://haystack.deepset.ai/integrations' },
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{ label: 'Studio', href: 'https://landing.deepset.ai/deepset-studio-signup' },
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{ label: 'Platform - Try Free', href: 'https://landing.deepset.ai/deepset-studio-signup' },
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],
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},
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{
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Binary file not shown.
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Before Width: | Height: | Size: 112 KiB After Width: | Height: | Size: 555 KiB |
@@ -1,13 +1,13 @@
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---
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title: "Visualizing Pipelines"
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title: "Visualizing Haystack Pipelines"
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id: visualizing-pipelines
|
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slug: "/visualizing-pipelines"
|
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description: "You can visualize your pipelines as graphs to better understand how the components are connected."
|
||||
description: "You can visualize your Haystack AI pipelines as graphs to better understand how the components are connected."
|
||||
---
|
||||
|
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import ClickableImage from "@site/src/components/ClickableImage";
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# Visualizing Pipelines
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# Visualizing Haystack Pipelines
|
||||
|
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You can visualize your pipelines as graphs to better understand how the components are connected.
|
||||
|
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@@ -82,8 +82,8 @@ This is an example of what a pipeline graph may look like:
|
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<br />
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## Importing a Pipeline to deepset Studio
|
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## Importing a Pipeline to Haystack Enterprise Platform
|
||||
|
||||
You can import your Haystack pipeline into deepset Studio and continue visually building your pipeline
|
||||
You can import your Haystack pipeline into Haystack Enterprise Platform and continue visually building your pipeline
|
||||
|
||||
To do that, follow the steps described in our deepset AI Platform [documentation](https://docs.cloud.deepset.ai/docs/import-a-pipeline#import-your-pipeline).
|
||||
To do that, follow the steps described in Haystack Enterprise Platform [documentation](https://docs.cloud.deepset.ai/docs/import-a-pipeline#import-your-pipeline).
|
||||
|
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@@ -27,9 +27,9 @@ Haystack can be easily integrated into any HTTP application, but if you don’t
|
||||
|
||||
:::note Looking to scale with confidence?
|
||||
|
||||
If your team needs **enterprise-grade support, best practices, and deployment guidance** to run Haystack in production, check out **Haystack Enterprise**.
|
||||
If your team needs **enterprise-grade support, best practices, and deployment guidance** to run Haystack in production, check out **Haystack Enterprise Starter**.
|
||||
|
||||
📜 [Learn more about Haystack Enterprise](https://haystack.deepset.ai/blog/announcing-haystack-enterprise)
|
||||
📜 [Learn more about Haystack Enterprise Starter](https://haystack.deepset.ai/blog/announcing-haystack-enterprise)
|
||||
|
||||
👉 [Get in touch with our team](https://www.deepset.ai/products-and-services/haystack-enterprise)
|
||||
:::
|
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|
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@@ -1,12 +1,12 @@
|
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---
|
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title: "Introduction to Haystack"
|
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id: intro
|
||||
description: "Haystack is an **open-source AI framework** for building production-ready **AI Agents**, **retrieval-augmented generative pipelines** and **state-of-the-art multimodal search systems**. Learn more about Haystack and how it works."
|
||||
description: "Haystack is an open-source AI framework to build production-ready LLM applications such as **AI Agents, powerful RAG applications and scalable multimodal search systems. Learn more about Haystack and how it works."
|
||||
---
|
||||
|
||||
# Introduction to Haystack
|
||||
|
||||
Haystack is an **open-source AI framework** for building production-ready **AI Agents**, **retrieval-augmented generative pipelines** and **state-of-the-art multimodal search systems**. Learn more about Haystack and how it works.
|
||||
Haystack is an **open-source AI framework** for building production-ready **AI Agents**, **powerful RAG applications** and **scalable multimodal search systems**. Build pipelines using reusable components, each responsible for specific tasks. Customize and extend pipelines to match your requirements. Learn more about Haystack and how it works.
|
||||
|
||||
:::tip Welcome to Haystack
|
||||
|
||||
@@ -15,7 +15,7 @@ To skip the introductions and go directly to installing and creating a search ap
|
||||
|
||||
Haystack is an open-source AI orchestration framework that you can use to build powerful, production-ready applications with Large Language Models (LLMs) for various use cases. Whether you’re creating autonomous agents, multimodal apps, or scalable RAG systems, Haystack provides the tools to move from idea to production easily.
|
||||
|
||||
Haystack is designed in a modular way, allowing you to combine the best technology from OpenAI, Google, Anthropic, and open-source projects like Hugging Face's Transformers or Elasticsearch.
|
||||
Haystack is designed in a modular way, allowing you to combine the best technology from OpenAI, Google, Anthropic, and open-source projects like Hugging Face's Transformers.
|
||||
|
||||
The core foundation of Haystack consists of components and pipelines, along with Document Stores, Agents, Tools, and many integrations. Read more about Haystack concepts in the [Haystack Concepts Overview](concepts/concepts-overview.mdx).
|
||||
|
||||
@@ -23,9 +23,9 @@ Supported by an engaged community of developers, Haystack has grown into a compr
|
||||
|
||||
:::note Looking to scale with confidence?
|
||||
|
||||
If your team needs **enterprise-grade support, best practices, and deployment guidance** to run Haystack in production, check out **Haystack Enterprise**.
|
||||
If your team needs **enterprise-grade support, best practices, and deployment guidance** to run Haystack in production, check out **Haystack Enterprise Starter**.
|
||||
|
||||
📜 [Learn more about Haystack Enterprise](https://haystack.deepset.ai/blog/announcing-haystack-enterprise)
|
||||
📜 [Learn more about Haystack Enterprise Starter](https://haystack.deepset.ai/blog/announcing-haystack-enterprise)
|
||||
|
||||
👉 [Get in touch with our team](https://www.deepset.ai/products-and-services/haystack-enterprise)
|
||||
:::
|
||||
|
||||
@@ -19,13 +19,13 @@ We only collect _anonymous_ usage statistics of Haystack pipeline components. Re
|
||||
|
||||
### How can I ask my questions around Haystack?
|
||||
|
||||
For general questions, we recommend joining the [Haystack Discord ](https://discord.com/invite/xYvH6drSmA)or using [GitHub discussions](https://github.com/deepset-ai/haystack/discussions), where the community and maintainers can help. You can also explore [tutorials](https://haystack.deepset.ai/tutorials/40_building_chat_application_with_function_calling) and [examples](https://haystack.deepset.ai/cookbook/tools_support) on our website to find more info.
|
||||
For general questions, we recommend joining the [Haystack Discord ](https://discord.com/invite/xYvH6drSmA)or using [GitHub discussions](https://github.com/deepset-ai/haystack/discussions), where the community and maintainers can help. You can also explore [tutorials](https://haystack.deepset.ai/tutorials/40_building_chat_application_with_function_calling) and [examples](https://haystack.deepset.ai/cookbook/tools_support) on website to find more info.
|
||||
|
||||
### How can I get expert support for Haystack?
|
||||
|
||||
If you’re a team running Haystack in production or want to move faster and scale with confidence, we recommend [Haystack Enterprise](https://haystack.deepset.ai/blog/announcing-haystack-enterprise). It gives you direct access to the Haystack team, proven best practices, and hands-on support to help you go from prototype to production smoothly.
|
||||
If you’re a team running Haystack in production or want to move faster and scale with confidence, we recommend [Haystack Enterprise Starter](https://haystack.deepset.ai/blog/announcing-haystack-enterprise). It gives you direct access to the Haystack team, proven best practices, and hands-on support to help you go from prototype to production smoothly.
|
||||
|
||||
👉 [Get in touch with our team to explore Haystack Enterprise](https://www.deepset.ai/products-and-services/haystack-enterprise)
|
||||
👉 [Get in touch with our team to explore Haystack Enterprise Starter](https://www.deepset.ai/products-and-services/haystack-enterprise)
|
||||
|
||||
### Where is the documentation for Haystack 2.17 and older?
|
||||
|
||||
@@ -43,4 +43,4 @@ The ZIP file contains documentation for all minor releases from version 1.0 to 1
|
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|
||||
To download documentation for a specific release, replace the version number in the following URL: `https://core-engineering.s3.eu-central-1.amazonaws.com/public/docs/v1.26.zip`.
|
||||
|
||||
Learn how to migrate to Haystack version 2.x with our [migration guide](migration.mdx).
|
||||
Learn how to migrate to Haystack version 2.x with the [migration guide](migration.mdx).
|
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@@ -51,16 +51,16 @@ Here's a table of key concepts and their approximate equivalents between the two
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At deepset, we're building the tools to make LLMs truly usable in production, open source and beyond.
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* [Haystack, AI Orchestration Framework](https://github.com/deepset-ai/haystack) → Open Source AI framework for building production-ready, AI-powered agents and applications, on your own or with community support.
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* [Haystack Enterprise](https://www.deepset.ai/products-and-services/haystack-enterprise) → Private and secure engineering support, advanced pipeline templates, deployment guides, and early access features for teams needing more support and guidance.
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* [deepset AI Platform](https://www.deepset.ai/products-and-services/deepset-ai-platform) → An enterprise-ready platform for teams running Gen AI apps in production, with security, governance, and scalability built in with [a free version](https://www.deepset.ai/deepset-studio).
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* [Haystack Enterprise Starter](https://www.deepset.ai/products-and-services/haystack-enterprise) → Private and secure engineering support, advanced pipeline templates, deployment guides, and early access features for teams needing more support and guidance.
|
||||
* [Haystack Enterprise Platform](https://www.deepset.ai/products-and-services/deepset-ai-platform) → An enterprise-ready platform for teams running Gen AI apps in production, with security, governance, and scalability built in with [a free version](https://www.deepset.ai/deepset-studio).
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Here's the product equivalent of two ecosystems:
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| **LangChain Ecosystem** | **Haystack Ecosystem** | **Notes** |
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| --- | --- | --- |
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| **LangChain, LangGraph, Deep Agents** | **Haystack** | **Core AI orchestration framework for components, pipelines, and agents**. Supports deterministic workflows and agentic execution with explicit, modular building blocks. |
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| **LangSmith (Observability)** | **deepset AI Platform** | **Integrated tooling for building, debugging and iterating.** Assemble agents and pipelines visually with the **Builder**, which includes component validation, testing and debugging. The **Prompt Explorer** is used to iterate and evaluate models and prompts. Built-in chat interfaces to enable fast SME and stakeholder feedback. Collaborative building environment for engineers and business. |
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| **LangSmith (Deployment)** | **Hayhooks** **Haystack Enterprise** (deployment guides + advanced best practice templates) **deepset AI Platform** (1-click deployment, on-prem/VPC options) | Multiple deployment paths: lightweight API exposure via [Hayhooks](https://github.com/deepset-ai/hayhooks), structured enterprise deployment patterns through Haystack Enterprise, and full managed or self-hosted deployment through the deepset AI Platform. |
|
||||
| **LangSmith (Observability)** | **Haystack Enterprise Platform** | **Integrated tooling for building, debugging and iterating.** Assemble agents and pipelines visually with the **Builder**, which includes component validation, testing and debugging. The **Prompt Explorer** is used to iterate and evaluate models and prompts. Built-in chat interfaces to enable fast SME and stakeholder feedback. Collaborative building environment for engineers and business. |
|
||||
| **LangSmith (Deployment)** | **Hayhooks** **Haystack Enterprise Starter** (deployment guides + advanced best practice templates) **Haystack Enterprise Platform** (1-click deployment, on-prem/VPC options) | Multiple deployment paths: lightweight API exposure via [Hayhooks](https://github.com/deepset-ai/hayhooks), structured enterprise deployment patterns through Haystack Enterprise Starter, and full managed or self-hosted deployment through the Haystack Enterprise Platform. |
|
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|
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## Code Comparison
|
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