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Stan Girard Profile picture
@_StanGirard
Jun 12 β€’ 17 tweets β€’ 45 min read Twitter logo Read on Twitter
Your GenerativeAI Second Brain is 1 month old! πŸ”₯🧠

What a trip you guys! Thanks for the support! 7k ✨ & 1k users 🀯

One Limited Edition T-shirt to win!
RT / Like to get a chance

The Story and Future of @quivr_brain in πŸ§΅πŸ‘‡ Image
@quivr_brain Code with chatGPT4

Two months ago I started working on understanding what could be done with GenerativeAI.

I made my chatGPT Web UI alternative. Entirely coded with GPT4 🀯

Source code: github.com/StanGirard/Cha… Image
@quivr_brain First LLM app with @LangChainAI

What an amazing discovery it was! I created my first Langchain agent during a HackBrunch at @theodo

Thanks to Langchain I was able to create an autonomous agent in less than 2 hours.

Source code: github.com/theodo-group/l… Image
@quivr_brain @LangChainAI @theodo Discovery of Whisper from @OpenAI & @streamlit

I started meddling with Whisper and streamlit to create an audio recording summarizer.

Record your meeting and then summarizes it.

Source code: github.com/StanGirard/spe…
Streamlit Link: speechdigest.streamlit.app Image
@quivr_brain @LangChainAI @theodo @OpenAI @streamlit May 12, 2023 - The Birth of @quivr_brain

On a sunny Friday morning, I merged all the things I did into one project called Second Brain.

This was the beginning of Quivr πŸ”₯

Thanks to @LangChainAI, @supabase & @streamlit
First demo: try-quivr.streamlit.app Image
@quivr_brain @LangChainAI @theodo @OpenAI @streamlit @supabase The Infamous tweet

Bored in the afternoon I made a tweet that went "viral" about my second brain project.

@LangChainAI retweeted it & then it went crazy πŸ”₯

@quivr_brain @LangChainAI @theodo @OpenAI @streamlit @supabase Trending on Github ✨

Monday the 15th, Quivr becomes trending on Github !

We got ranked from 2nd to 4th for a couple of days! πŸ”₯

Then we steadily kept climbing from that time. Image
@quivr_brain @LangChainAI @theodo @OpenAI @streamlit @supabase The Webapp

We had to move away from Streamlit to be able to have a better production-ready and more future-friendly app.

We migrated to:
- @FastAPI for the backend
- @nextjs for the Frontend

This allows us to iterate faster and better.
@quivr_brain @LangChainAI @theodo @OpenAI @streamlit @supabase @FastAPI @nextjs @quivr_brain Open Beta

We are now in public Open Beta.
Anyone can register at quivr.app

@quivr_brain @LangChainAI @theodo @OpenAI @streamlit @supabase @FastAPI @nextjs Deep Dive webinar on Quivr with @hwchase17

Want to know how Quivr works?

You can check our Webinar on @YouTube

@quivr_brain @LangChainAI @theodo @OpenAI @streamlit @supabase @FastAPI @nextjs @hwchase17 @YouTube I've met a bunch of cool people on the way. Just to name a few:

- @ivanmartit from PrivateGPT ❀️
- @kiwicopple from @supabase πŸ’Ώ
- @jeffreyhuber from @trychroma ㏈
- @jerryjliu0 from @llama_index πŸ¦™
- @hwchase17 from @LangChainAI πŸ¦œοΈπŸ”—
@quivr_brain @LangChainAI @theodo @OpenAI @streamlit @supabase @FastAPI @nextjs @hwchase17 @YouTube @ivanmartit @kiwicopple @jeffreyhuber @trychroma @jerryjliu0 @llama_index But how does Quivr works ?!

It is a mix of LLMs/Embeddings with @OpenAI, vectorstore with @supabase & a good framework thanks to @LangChainAI

@quivr_brain @LangChainAI @theodo @OpenAI @streamlit @supabase @FastAPI @nextjs @hwchase17 @YouTube @ivanmartit @kiwicopple @jeffreyhuber @trychroma @jerryjliu0 @llama_index Quivr now has a brain!

We deployed the first iteration of Quivr's brain that will hold all you need to know about it.

@quivr_brain @LangChainAI @theodo @OpenAI @streamlit @supabase @FastAPI @nextjs @hwchase17 @YouTube @ivanmartit @kiwicopple @jeffreyhuber @trychroma @jerryjliu0 @llama_index @quivr_brain with stats

- 1200 registered users on the web app
- 4000 users on the old demo
- 7400 ✨ on @github
- 1.2 Gb of text ingested
- 32$ of @OpenAI calls since 1st June
- 23 Contributors
- 1125 Discord Members
@quivr_brain @LangChainAI @theodo @OpenAI @streamlit @supabase @FastAPI @nextjs @hwchase17 @YouTube @ivanmartit @kiwicopple @jeffreyhuber @trychroma @jerryjliu0 @llama_index @github What will be the future of @quivr_brain ?

- Private LLMs to store privately
- Autonomous Agents - Eureka! feature
- API to integrate with your tools

And much more

brain.quivr.app/docs/roadmap
@quivr_brain @LangChainAI @theodo @OpenAI @streamlit @supabase @FastAPI @nextjs @hwchase17 @YouTube @ivanmartit @kiwicopple @jeffreyhuber @trychroma @jerryjliu0 @llama_index @github Will Quivr stay Open source?

Yes, it will!

Thanks to @theodo & @padok_m33 for giving me some free time to work on Quivr ❀️

Lets focus on making an awesome product
@quivr_brain @LangChainAI @theodo @OpenAI @streamlit @supabase @FastAPI @nextjs @hwchase17 @YouTube @ivanmartit @kiwicopple @jeffreyhuber @trychroma @jerryjliu0 @llama_index @github @padok_m33 If you want to support the project

You can:
- Follow @quivr_brain and I on Twitter
- Star the repo github.com/stangirard/qui…
- Join the Discord discord.com/invite/HUpRgp2…
- Try it for free: quivr.app

Don't forget to share the first tweet 🧠❀️

β€’ β€’ β€’

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Keep Current with Stan Girard

Stan Girard Profile picture

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More from @_StanGirard

Stan Girard Profile picture
Jun 14
πŸ”₯ New @quivr_brain release πŸ”₯

- GPT3.5/4 compatibility
- API Key management system

You can now have 16k context in Quivr AND generate your own API keys to create your own tools on top of it πŸŽ‰

Thanks @LangChainAI & especially @hwchase17 for the quick work !

🧡
1 - API Key

You can now create your own API keys to interact with api.quivr.app from anywhere πŸ”₯

More info on brain.quivr.app/docs/backend/a…

@mattzcarey
2 - GPT 3.5/4k new update

GPT released a new version with more context window πŸ”₯

Thanks @CezarVasconcelo
Read 5 tweets
Stan Girard Profile picture
Jun 6
How do you use chatGPT to chat with your docs?

Here is how you can chat with PDFs, Powerpoints, Excels, etc ...

🧡
[save this] Image
1 - Ingest the Documents with @LangChainAI

You can use one of the many Langchains document loaders to load any type of document.

From CSV to PDFs, it has you covered.
In @Quivr_ap we use the PyMuPDFLoader that extract the content from the PDF Image
@LangChainAI 2 - Separate your documents into Chunks with @LangChainAI

Separating your document into chunks allows you to have bits of context from your document.
It is also a good time to add metadata.

In @Quivr_app we use tiktoken and Recursive text splitter. Image
Read 11 tweets
Stan Girard Profile picture
Jun 4
Quivr's new web app is now in private beta! πŸ”₯

To get access simply like and comment what will be the first question you will ask your Generative AI second brain

All of this is powered by @LangChainAI, @supabase & @OpenAI Image
Make sure to follow me so I can send you a message πŸ˜™
@LangChainAI @supabase @OpenAI Thanks guys for the love ❀️

Already 50 accesses given!

Didn't expect such engagement.

Don't forget to like and retweet the first tweet it really helps !

Read 8 tweets
Stan Girard Profile picture
Jun 3
How do you make @supabase, @LangChainAI, @OpenAI, and @AnthropicAI work together to build an app such as @Quivr_app ?

Process explained in 🧡
@supabase is super easy to integrate into @nextjs

supabase.com/docs/guides/au… Image
@FastAPI to allow @nextjs to query the backend Image
Read 9 tweets
Stan Girard Profile picture
May 15
Quivr is trending on @github ! πŸ”₯

Thanks for the support !

The repo is only two days old πŸ”₯🀯

Lets make an awesome second brain powered by GenerativeAi thanks to @OpenAI @supabase @LangChainAI , @streamlit

Link in 🧡 Image
github.com/StanGirard/qui…
We also have a discord πŸ”₯

discord.gg/HUpRgp2HG8
Read 4 tweets
Stan Girard Profile picture
May 14
Quivr.app - Your GenerativeAI Second Brain 🧠 is getting @pinecone Vector Store support very soon!

Anybody will be able to add the vector store of its choosing!

- @trychroma
- @qdrant_engine
- @elastic
- @supabase
- @weaviate_io
- @activeloopai Deep Lake

🧡 Image
First I created a Vector Store Interface

- Select: allows the user to retrieve a vector
- Delete: allows the user to delete one

It allows anybody to add a vector store by implementing these two functions. Image
Then I created a vector store by using the Interface.

Here it is a @supabase one.

Select and Delete queries are implemented as follow: Image
Read 6 tweets

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