# deepset-ai/haystack **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/deepset-ai-haystack).** 24,253 stars · 2,615 forks · MDX · apache-2.0 ## Links - GitHub: https://github.com/deepset-ai/haystack - Homepage: https://haystack.deepset.ai - awesome-repositories: https://awesome-repositories.com/repository/deepset-ai-haystack.md ## Topics `agent` `agents` `ai` `gemini` `generative-ai` `gpt-4` `information-retrieval` `large-language-models` `llm` `machine-learning` `nlp` `orchestration` `python` `pytorch` `question-answering` `rag` `retrieval-augmented-generation` `semantic-search` `summarization` `transformers` ## Description Haystack is an orchestration framework designed for building complex search and generative AI pipelines. It functions as an agentic workflow engine, enabling the construction of automated sequences that allow AI agents to perform multi-step reasoning and data analysis. The framework utilizes a modular, component-based architecture that connects processing steps into directed acyclic graphs. By employing a provider-agnostic integration layer, it decouples core logic from specific external AI services and vector databases, allowing for the flexible exchange of underlying technologies. This design supports the development of custom retrieval systems that provide context-aware answers from large datasets. Beyond text-based retrieval, the platform includes tools for multimodal data processing and indexing. It normalizes diverse media formats, including images and audio, into a unified representation to ensure consistent analysis across different types of content. The system also incorporates observability hooks to monitor state changes during the execution of complex workflows. ## Tags ### Artificial Intelligence & ML - [Agentic Workflow Engines](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-workflow-engines.md) — Functions as an agentic workflow engine for multi-step reasoning and data analysis. - [Agentic Workflow Automation](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-workflow-automation.md) — Constructs automated sequences of modular steps to execute complex agentic tasks and LLM-based data processing. ([source](https://haystack.deepset.ai/llms.txt#haystack)) - [AI Service Integrations](https://awesome-repositories.com/f/artificial-intelligence-ml/ai-service-integrations.md) — Connects external AI services and vector databases to extend data processing workflows. - [Multimodal Processing Tools](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/multimodal-processing-tools.md) — Includes tools for indexing and retrieving information from diverse media formats within AI-driven systems. - [External Service Integrations](https://awesome-repositories.com/f/artificial-intelligence-ml/external-service-integrations.md) — Integrates third-party model providers, vector databases, and observability tools into automated pipelines. ([source](https://haystack.deepset.ai/llms.txt#haystack)) ### Development Tools & Productivity - [Pipeline Orchestration Frameworks](https://awesome-repositories.com/f/development-tools-productivity/pipeline-orchestration-frameworks.md) — Provides a modular framework for building complex search and generative AI pipelines. ### Data & Databases - [Modular Pipeline Orchestration](https://awesome-repositories.com/f/data-databases/data-processing-pipelines/processing-pipelines/modular-pipeline-orchestration.md) — Orchestrates modular processing steps into automated sequences for LLM-based agentic tasks. - [Search & Information Retrieval](https://awesome-repositories.com/f/data-databases/search-indexing-technologies/search-indexing/search-information-retrieval.md) — Builds custom retrieval systems that provide context-aware answers from large datasets. - [Vector Database Integrations](https://awesome-repositories.com/f/data-databases/vector-database-integrations.md) — Integrates various vector storage backends to enable semantic search and retrieval-augmented generation. - [Data Indexing Tools](https://awesome-repositories.com/f/data-databases/data-indexing-tools.md) — Indexes diverse media formats to ensure search tools can interpret non-textual content. - [Data Normalization Utilities](https://awesome-repositories.com/f/data-databases/data-normalization-utilities.md) — Normalizes diverse media formats into a unified internal representation for consistent processing. ### Software Engineering & Architecture - [Directed Acyclic Graph Engines](https://awesome-repositories.com/f/software-engineering-architecture/directed-acyclic-graph-engines.md) — Orchestrates complex data processing tasks by connecting modular components into directed acyclic graphs. - [Integration Abstraction Layers](https://awesome-repositories.com/f/software-engineering-architecture/integration-abstraction-layers.md) — Employs an abstract integration layer to decouple core logic from specific external AI services and vector databases. - [Decoupled Architectures](https://awesome-repositories.com/f/software-engineering-architecture/software-architecture/architectural-patterns/modular-decoupled-design/decoupled-architectures.md) — Utilizes a modular, component-based architecture to decouple processing logic into interchangeable units. ### Part of an Awesome List - [Conversational AI](https://awesome-repositories.com/f/awesome-lists/ai/conversational-ai.md) — Flexible framework for scalable question answering. - [Language Model Development](https://awesome-repositories.com/f/awesome-lists/ai/language-model-development.md) — NLP framework for building search and LLM applications. - [Natural Language Processing](https://awesome-repositories.com/f/awesome-lists/ai/natural-language-processing.md) — Framework for building industrial-strength LLM and RAG applications. ### Graphics & Multimedia - [Media Analysis](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-analysis.md) — Processes and indexes diverse media formats including text, images, and audio for search and analysis. ([source](https://haystack.deepset.ai/llms.txt#haystack))