Load text from self-hosted Memos into LlamaIndex
Memos Loader fetches text from self-hosted Memos instances into LlamaIndex, with optional filtering parameters.
Why it matters
Fetch and load text content from self-hosted Memos instances into LlamaIndex for indexing and retrieval-augmented generation workflows.
Outcomes
What it gets done
Connect to self-hosted Memos deployment via host URL
Filter memos by creator ID or other parameters
Extract text content from fetched memos
Transform memos into LlamaIndex document format
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/li-reader-readers-memos | bash Overview
Memos Loader
Memos Loader fetches text from self-hosted Memos instances. It requires a host URL where Memos is deployed and supports optional filtering parameters when loading data. Use Memos Loader when you need to load data from a self-hosted Memos instance into LlamaIndex. You can pass filtering parameters to narrow down which memos to retrieve.
What it does
Memos Loader fetches text from self-hosted Memos instances. It requires a host URL where Memos is deployed and supports optional filtering parameters when loading data.
When to use - and when NOT to
Use Memos Loader when you need to load data from a self-hosted Memos instance into LlamaIndex. You can pass filtering parameters to narrow down which memos to retrieve.
Do not use this loader if your memos are stored in a different platform or if you need real-time synchronization - this is a data fetch tool.
Inputs and outputs
You provide the host URL of your self-hosted Memos instance and optional filter parameters (such as creatorId). The loader returns documents that can be used with LlamaIndex.
Integrations
This loader is designed to be used as a way to load data into LlamaIndex.
Who it's for
Memos Loader is for users who need to load data from self-hosted Memos instances into LlamaIndex.
Installation and usage
pip install llama-index-readers-memos
from llama_index.readers.memos import MemosReader
loader = MemosReader("https://demo.usememos.com/")
documents = loader.load_data({"creatorId": 101})
Source README
Memos Loader
pip install llama-index-readers-memos
This loader fetches text from self-hosted memos.
Usage
To use this loader, you need to specify the host where memos is deployed. If you need to filter, pass the corresponding parameter in load_data.
from llama_index.readers.memos import MemosReader
loader = MemosReader("https://demo.usememos.com/")
documents = loader.load_data({"creatorId": 101})
This loader is designed to be used as a way to load data into LlamaIndex.
FAQ
Common questions
Discussion
Questions & comments · 0
Sign In Sign in to leave a comment.