Show HN: "banks" Using Jinja as the basis of LLM prompt templating

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  • banks

    LLM prompt language based on Jinja

  • haystack

    :mag: LLM 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.

  • banks is a side project by my colleague Massi. We work on the open source NLP framework Haystack together (https://github.com/deepset-ai/haystack) and prompt templating is obviously a 'hot' topic and it's something to design these types of projects around. Massi had this concept in mind to use Jinja (or any other templating language for that matter) as the basis, and clearly decided to take it for a spin. I personally am in love with this style of prompt templating and think it makes the whole process insanely flexible and easy to read.

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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