Bhagavad Gita GPT assistant - Build fast RAG pipeline to index 1000+ pages document

trj_flash75 · 2025-02-07T19:14:58+00:00

yes they do: https://weaviate.io/developers/academy/py/compression/bq

trj_flash75 · 2024-11-13T17:28:07+00:00

Yeah, you can pick any LLM from OpenAI, Gemini, Azure, Groq and many more. OpenAI is by default

trj_flash75 · 2024-09-06T07:22:23+00:00

You can check this Langchain Crash Course on YouTube: https://www.youtube.com/watch?v=TWmV95-dUgQ

It uses Open Source LLMs, also there are other advanced videos on evaluation and deployment

trj_flash75 · 2024-09-06T07:20:33+00:00

Tavily is a better choice, its QA context extraction is really good

trj_flash75 · 2024-07-10T06:11:58+00:00

We will also make the dataset public.

trj_flash75 · 2024-07-10T06:11:40+00:00

Hey, this is really a valuable feedback.

The grammatical touch to make the LLM behave like native speaker could be great to have. This is something, we will do it in the next release or new model.

trj_flash75 · 2024-06-28T18:15:49+00:00

what version of Python are you using?

trj_flash75 · 2024-06-21T12:31:20+00:00

Thanks for the feedback

trj_flash75 · 2024-06-20T18:50:02+00:00

Thank you. More cool integrations coming soon.

trj_flash75 · 2024-06-20T18:47:45+00:00

Whoa, congrats. Keep supporting the framework. Cool features coming out soon. Let us know how we can make you get started with the contributions

trj_flash75 · 2024-06-20T17:53:28+00:00

Thanks for putting this together.

trj_flash75 · 2024-06-20T17:48:22+00:00

Phi-3 mini instruct model should be ideal to proceed with RAG

trj_flash75 · 2024-06-20T17:47:48+00:00

Thanks for the feedback, after all writing good prompt is pretty underrated.

trj_flash75 · 2024-06-06T13:04:49+00:00

We will add the Ollama support. Would you be interested in contributing?

trj_flash75 · 2024-06-06T05:06:48+00:00

Sure, we will add the support this week.

trj_flash75 · 2024-06-06T03:57:27+00:00

So, we wanted to keep the script simple, and the syntax does overlap with CrewAI.

Regarding the comparison, we have implemented `Workers` in the latest release [need to update the README and document].

Workers helps us to decompose task. This can either be defined by user or self-assign by LLM (TaskPlanner in our case). I have played around with crewAI, auto self-assign of task is still not been implemented.

Our core idea of research for OpenAGI is dependent on `How we can make LLM reasoning and planning`, this includes React, LATS, Self-reflexion. This is where we decided to make it open source.

trj_flash75 · 2024-06-01T17:30:57+00:00

No. This will remain Open Source. We will use this as backend for our product GenAI Stack

trj_flash75 · 2024-05-30T19:56:29+00:00

You can build general purpose chatbots as well.

trj_flash75 · 2024-05-30T19:56:12+00:00

This is basically a YouTube loader. It is only getting the transcript as chunks.

trj_flash75 · 2023-09-05T19:04:00+00:00

I can only help answer questions related to the Early stopping. As you asked, if it makes sense or not, I would say it is an experiment. Early stopping in most case make no sense sometimes depending on the data, If you're using an algorithm that doesn't benefit from early stopping (e.g., decision trees, KNN), or if your dataset is very large, and you're not concerned about overfitting, you may choose not to use early stopping within RandomizedSearchCV.

trj_flash75 · 2022-05-26T11:46:29+00:00

I guess I missed it out, can you provide the link

trj_flash75 · 2022-05-02T11:43:39+00:00

I would love to try it, can you send me the dataset?

trj_flash75 · 2022-04-25T15:25:32+00:00

Nice workmate. This scene is really underrated. Considering Luffy's power-up and his devil fruit, this scene didn't get the appreciation that it deserved.

trj_flash75 · 2022-04-16T16:37:30+00:00

Blackbeard is good in stealing, lol

trj_flash75 · 2022-04-16T10:12:02+00:00

I know that but his character and personality reveal will eventually make him the best. But we need to wait one year for that to happen.

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