Comments (3)
Hey @catmeme , thanks for sharing your views.
Please find our rationale for changing the name here: https://x.com/taranjeetio/status/1811789999257587785
We are working on other pointers, will keep you posted on this thread.
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TBH it gives me some vibes that you just want to make some money. Why I think like this? Just keep reading.
First, there is no easy way to implement custom memory to embedchain, so far you just support your memory solution or some very limited information about session memory.
Second, for god's sake, looking at the github readme your library solves completely different problem. Why not to just create a different repo?
Third, changing project name to mem0 without any announcements keep users unsure what's the project goal. So far, I was thinking that your main goal is to gives users FAST and EASY way to implement rag applications. With this unclear change it looks like you change your directions to 'how to make some money'. What's more I believe your strategy now is to gives user ability to create RAG application but then only with your memory solution. So you just found your niche which is a memory for LLM apps.
TBH it's not bad, but that big change is quite suspicious. And all of that is on the verge when I wanted to use your library in my project.
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Related Issues (20)
- When uploading a large pdf, it creates a socket hang up issue. Afterwards it seems to recover from it (see below) , but not sure if some stuff is skipped.
- huggingface download is not working properly in the full stack example, mean pooling not working
- HF_HUB_CACHE not present (see error message) HOT 2
- obvious characters that are very common on huggingface not allowed HOT 2
- Access api_key in every llm
- when something goes wrong with creating the embeddings after adding a PDF, it doesn't give an error, but no embeddings are added/ HOT 3
- AzureOpenAI embedder should have a separate file... HOT 2
- huggingface endpoint URL not implemented for embedder part of the config.yaml
- creating embeddings fails, without any notice, stuck at 0%, then goes to next PDF, no embeddings created ultimately release 0.1.112
- GPT-4-Vision has now been deprecated, needs to be changed on image embeddings HOT 2
- LLM is not able to fetch and respond to `text` data type HOT 1
- Azure Embedder and ChatOpenAI should allow httpx proxies HOT 3
- How to use the http_client from BaseLlmConfig
- OpenAI embeder from langchain has more options than chroma HOT 3
- Calling multiple functions openai HOT 1
- Reading python scripts HOT 3
- AWS Bedrock Embedder HOT 3
- Can't update after 0.1.108 because of chromadb<0.5.0 and >=0.4.24 HOT 7
- Issue on docs - Function calling HOT 1
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