deepset-ai / haystack

AI orchestration 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. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
https://haystack.deepset.ai
Apache License 2.0
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Validated and hardened OPEA examples using Haystack #8147

Open arun-gupta opened 3 months ago

arun-gupta commented 3 months ago

Is your feature request related to a problem? Please describe. OPEA (Open Platform for Enterprise AI) is a newly introduced project by the Linux Foundation. You can find all the details at https://opea.dev/. It provides an open source platform that allows the creation of GenAI applications. They have multiple samples that use the underlying components. Creating samples that show how Haystack can be used for composing these samples is a commonly asked feature by customers and in public presentations. This feature request will create a Haystack version of all the GenAI Examples in the OPEA repo.

Deepset is a partner and their logo/quote is on the website.

Describe the solution you'd like All GenAI examples validated and hardened using Haystack and contributed back to the OPEA GenAI Examples repo.

Describe alternatives you've considered This has never been tried and needs to be tested/validated using Haystack.

Additional context Customers and partners have asked how to compose these samples using Haystack. This question has been asked in public presentations as well. Validating and hardening OPEA samples using Haystack would fulfill that need.