Verba
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Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
## Description Will there be any plans to support GraphRAG approach within Verba? ## Is this a bug or a feature? - [ ] Feature ## Additional context https://www.microsoft.com/en-us/research/project/graphrag/ https://www.youtube.com/watch?v=r09tJfON6kE
## Description When I try to upload a json file, it shows the message 'Embedding completed with 1 Documents and 0 chunks in 0.0s ## Is this a bug or...
## Description I am a new beginner ,and when follow then instruction to add paramter in .env for ollama,  and using verba start, but when I check the UI,...
## Description Post following instruction ran into following issue, where the ui just ends up with loading icon. ## Is this a bug or a feature? - [x] Bug -...
Hi everyone. This is working sample how to add BAAI/bge-m3 embedder to Verba. 1. Create copy of MiniLMEmbedder.py file and rename it to "BGEM3Embedder.py" in goldenverba/components/embedding 2. Make changes in...
Hi Guys, I am trying to import a .pdf which has the size of 7.7MB. I've tried using the different settings but have been unable to import. I'm currently using...
Error: ``` ✘ WebSocket Error: type object 'GeneratePayload' has no attribute 'model_validate_json' ERROR: Exception in ASGI application Traceback (most recent call last): File "/output/Verba/goldenverba/server/api.py", line 597, in websocket_generate_stream payload =...
    Heya, verba used to be fine but now after ingesting some documentation, asking one question, on the next keystroke, I get this behavior. I tried to...
I created a separate repo so I can use a public docker image here in the helm charts: https://github.com/substratusai/verba-docker However, ideally Verba publishes an official container image and tags it...
Adds support for reading documents from GitLab. Similar to the current GithubReader