Open Source RAG running LLMs locally with Ollama

Рет қаралды 13,093

Күн бұрын

We've taken Verba, our open-source Retrieval Augmented Generation (RAG) app, to the next level with the newly released version 1.0. Run LLMs fully free and open with the new Ollama model integration, completely customize the UI, and enjoy many other feature updates like cached conversation, better logging and full transparency. Philip, Edward, and Victoria will take you through all the updates, show you how to set it up locally and help you get started using advanced RAG on your own data in just a couple minutes.
GitHub: github.com/weaviate/verba
Demo: verba.weaviate.io
Join Leonie, Femke, Philip, Edward, Ajit and Victoria at Weaviate - we're hiring: weaviate.io/company/careers
And remember - all your vector embeddings are belong to you:
• All Your Vector Embedd...
Thanks to the Merantix AI Campus for hosting us in Berlin!
www.merantix-aicampus.com/
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Music:
Nebulosity - Brendon Moeller
Aubergene - Brendon Moeller
00:00 - Introduction
01:17 - Ollama Integration
01:53 - Customization
03:14 - RAG in Healthcare
04:54 - RAG in Weaviate
06:20 - Installation
08:54 - Outro
09:19 - Easter Egg

Пікірлер: 42

@wojciechperchuc2734 8 күн бұрын

Love the background music ❤ You can feel the Berlin vibe ;)

@kapkanfps3694 16 күн бұрын

Might have to give a try, the ending is hilarious nostalgic 😂

@AlangHsu 16 күн бұрын

Thank you for the open-source project. It's great.

@iandanforth 14 күн бұрын

Very exciting! Thanks for all the hard work. (and fun Easter eggs)

@JenuelDev 8 күн бұрын

is their an API where I can use to upload data? rather than uploading it in the admin ui. and also is their a way to access chat through api as well so that I can use the chat inside any website or apps?

@kyudechama 6 күн бұрын

I would like to know as well!

@mohz832 9 күн бұрын

Why the layout of the installed version via pip is not the same as your demo? Also, how can we use PDF files without an API key from Unstructured? I believe this is still a showstopper for most of us.

@JimMendenhall 16 күн бұрын

Very nice work!

@AnugrahPrahasta 15 күн бұрын

One of the best RAG opensource I installed.

@Weaviate 14 күн бұрын

facts 💚

@blueedu4958 15 күн бұрын

all your base are belong to us! Brilliant 🙂😍😎😎😎

@Weaviate 14 күн бұрын

Yes they are!

@philipvollet 14 күн бұрын

kzfaq.info/get/bejne/h9iRZNKIybC1gKc.html

@marilynlucas5128 16 күн бұрын

Good job guys!

@stebansb 17 күн бұрын

hey, this is awesome. Also love the end of the video, brings back memories!

@philipvollet 16 күн бұрын

kzfaq.info/get/bejne/h9iRZNKIybC1gKc.htmlsi=outDexl5AGXlNTOW

@christenjacquottet9799 14 күн бұрын

Is it more recommended to break down your markdown blogs into separate files rather than one big file to ingest? I tried with one big file and didn’t get accurate results

@igorshingelevich7627 Күн бұрын

Sounds interesting.

@mikestaub 5 күн бұрын

Great job!

@freddiechipres 4 күн бұрын

Awesome app you guys. Is it possible to add OCR capability?

@tlfmcooper 16 күн бұрын

This looks great. Can I deploy verba to the cloud? Please provide a link to the resource if available

@Mr6499 6 күн бұрын

Not free ! you're giving your Base to Weaviate!

@rodericksweet6546 16 күн бұрын

This is exactly what I have been looking for. However, I install it and none of the variables seem to populate the application. At lease none are showing.

@SamiBenSalah 6 күн бұрын

the use of GPU is highly recommended but not so clear. I am using Verba on my WSL on Windows but as it is using only CPU, it is kind of slow. How can I plug my GPU to help?

@kanunssol1246 2 күн бұрын

Does this have user limitation (user accounts) like openwebui and Danswer? Please reply. Thanks

@MrRaja 7 күн бұрын

How do I speed up the Vectorizing of Documents?

@TechTrek-su7hl 12 күн бұрын

Could you let us know how did you create this animation/gif please?

@Alex29196 16 күн бұрын

Does this need to be python 3.10?, I followed the instructions but not working.

@ApeOfGod1 10 күн бұрын

3.1.0 != 3.10.0.

@trvsgrant 8 күн бұрын

How is this different than chatrtx?

@tusharbhatnagar8143 16 күн бұрын

Quick question. Does setting up and using Verba support Windows or WSL? Also, what exactly is the process. Does it simply work like a RAG app off the shelf after setup or we need to have weviate DB running on the side as well.

@Weaviate 16 күн бұрын

Weaviate Embedded isn't currently supported on Windows but we're working on it! On other devices, Weaviate Embedded is setup automatically and locally in the background when installing Verba, but you also got other deployment options such as Docker or using a Free Sandbox Cluster Hosted on our Cloud Platform (console.weaviate.cloud/)

@tusharbhatnagar8143 16 күн бұрын

@@Weaviate Got it. Will have to wait it out then to try it on Windows or WSL as those are the primary devices at my org.

@benwatson5211 16 күн бұрын

I saw that people were requesting a windows deployment almost 12 months ago. Are you actively working on this or not? @weaviate

@tusharbhatnagar8143 16 күн бұрын

@@benwatson5211 I don't think they are. They just replied to me yesterday about the status and incompatibility.

@botondvasvari5758 16 күн бұрын

demo is empty

@DerekDickerson 16 күн бұрын

the installer and the env information needs allot of work

@martin22336 17 күн бұрын

Useful with small models like phi3.

@Adante. 16 күн бұрын

Can this be connected to via an api for external apps? eg: Automation of emailing facts about ingested data to someone interested/able to receive email responses

@googleyoutubechannel8554 16 күн бұрын

Nice system, great that it works with ollama. I think like everyone who isn't openai, we want rag to work... but it just doesn't. I've come to the conclusion that it basically just 'can't' work, embedding dbs just don't represent information in 'connected enough' way to make an nl 'query' successful in 99% of use cases. And for the 1% where rag does work... keywords also seem to work just as well.... The sooner funded companies like weaviate accept that current rag just doesn't work, the better chance we have of the hard work of creating a system that can work... and basically you're probably going to have to 'train' self contained embeddings against a more general model in lora-like fashion, to have any hope of teasing out the actual relationships 'activations', that will give a natural language query against unstructured data a chance.