# Help me get started with HF

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**Category:** Beginners\
**Created:** [February 14, 2025, 4:42pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhelp-me-get-started-with-hf%2F140884 "2025-02-14T16:42:40Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FJohn6666)%5C
**Post date:** [February 14, 2025, 5:36pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhelp-me-get-started-with-hf%2F140884%2F2 "2025-02-14T17:36:47Z")

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I’ll answer the questions in order, starting with the easiest ones. Also, if the questions are this complicated, I think it would be more efficient to ask them on HF Discord…😅

> **QUESTION: Which database should I use, to work on HF free tire?**

There seem to be various things that can be used. Also, it seems that there are various approaches being taken to long-term memory for LLM. I’m not very familiar with it…

> **[OpenSearch Vector Database with Hugging Face for Enhanced Search Capabilities](https://medium.com/@visrow/opensearch-vector-database-with-hugging-face-for-enhanced-search-capabilities-2686d054ff43)**
>
> In this article, I will explore how to deploy OpenSearch as Vector Database on Hugging Face Spaces and integrate it with Hugging Face’s…

> **[Paper page - Evaluating Very Long-Term Conversational Memory of LLM Agents](https://huggingface.co/papers/2402.17753)**
>
> Join the discussion on this paper page

> **QUESTION: Is there a specific Storage Strategy I need to follow?**

As for the strategy for saving data, or rather the place to save it, I recommend using a data set repository.

> [@Persistent storage who can access?](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fpersistent-storage-who-can-access%2F108027%2F3)%3A
>
> Yes i mean paid service ( Persistent Storage ), how can i ask HF representative Thank you

> **[Storage limits](https://huggingface.co/docs/hub/storage-limits)**
>
> We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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