farm-haystack 1.26.4.post0

LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data.

Stars: 24222, Watchers: 24222, Forks: 2610, Open Issues: 109

The deepset-ai/haystack repo was created 6 years ago and the last code push was 7 hours ago.
The project is extremely popular with a mindblowing 24222 github stars!

How to Install farm-haystack

You can install farm-haystack using pip

pip install farm-haystack

or add it to a project with poetry

poetry add farm-haystack

Package Details

Author

None

License

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Homepage

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PyPi:

https://pypi.org/project/farm-haystack/

GitHub Repo:

https://github.com/deepset-ai/haystack

Classifiers

• Scientific/Engineering/Artificial Intelligence

Related Packages

Errors

A list of common farm-haystack errors.

Code Examples

Here are some farm-haystack code examples and snippets.

GitHub Issues

The farm-haystack package has 109 open issues on GitHub

• Add HF code to the get started page
• Add run_async for all Websearch Pipeline components
• Remove deprecated deserialize_document_store_in_init_params_inplace
• feat: Enable components to automatically accept multiple connections if their input type is list
• Improve Pipeline is possibly blocked error message
• feat: Add ToolSearchToolset for dynamic tool discovery from large tool catalogs
• Add docs page for Human in the Loop abstractions
• Add SQLRetriever to ElasticSearchDocumentStore
• Add component that can extract metadata from Image Documents
• feat: add strip_whitespace and regex_replace to DocumentCleaner
• Run typing checks on our test files
• feat: add HAYSTACK_PROGRESS_BARS environment variable support
• from haystack_integrations.components.preprocessors.hanlp import ChineseDocumentSplitter
• Flaky tests in Haystack test suite
• Add Tool Search Tool

See more issues on GitHub