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- summarizationModel: gemma-2b-it
- QAModel: gemma-2b-it
- embeddingModel: bge-m3
when I run the demo with a longer text, RA.add_documents(text) will raise this TypeError.
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## Keyword: super resolution
There is no result
## Keyword: gan
### Towards Discovery and Attribution of Open-world GAN Generated Images
- **Authors:** Sharath Girish, Saksham Suri, Saketh Rambhatla…
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### Bug Description
When using a query engine with a `response_synthesizer` of `simple_summarize` response mode with too many nodes, [truncate method ](https://github.com/run-llama/llama_index/blob/2…
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## Problem
Some blocklist rules, especially in the search engine result blocklist, can block legitimate sites including with the blanket block rules
## Affected sites
Search engine blocklist:…
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Please comment below to leave us your lab reviews! Remember, please follow this format:
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Your Name:
Overview of Lab Comments: i.e. Was this lab good or bad? Too fast? Too Slow? Does it need somet…
lmock updated
9 years ago
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< Placeholder >
timeline: April 2023 - April 2027.
[Key historical 2016 issue of thesis topic](https://github.com/Tribler/tribler/issues/2250)
ToDo: 6 weeks hands-on Python onboarding project. …
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Hi @danemadsen, thanks for your hard work on this!
I'd like to write a userguide in a PR for noobs to figure out which models to use and debug various popular FOSS .gguf models from huggingface. I'…
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### Description
Insightful
### Additional Information
_No response_
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Hi, I have some questions about embedding api of Ollama.
As Ollama document's guide, we can use embedding API, as
```shell
curl http://localhost:11434/api/embeddings -d '{
"model": "llama2",…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
# create vector store index
index = VectorStoreIndex.from_documents(documents, embed_mo…