[FREE] AnythingLLM v2 | The last document chatbot you will ever need

AnythingLLM is an open-source full-stack "Chat with your documents" application that is constantly evolving and will enable you to chat with your documents in a private and enterprise environment.

Chapters
0:00 What is AnythingLLM & what’s new?0:46 Where to find on GitHub
1:29 Onboarding - Introduction
1:51 Onboarding - LLM Selection2:34 Onboarding - Vector Database Selection3:27 Onboarding - Appearance and customization
3:51 Onboarding - Single and Multi-User mode setup options5:07 Onboarding - Create the first workspace
5:45 The chat interface
6:17 Uploading a custom document(s) for chatting
7:16 Workspace settings overview
8:15 Citations
10:00 AnythingLLM Controls
10:20 Settings - System Preferences
10:43 Settings - Inviting new members
10:58 Settings - User management
11:15 Settings - Workspace management
11:32 Settings - Workspace chat management
11:50 Settings - Appearance settings & default chat view
12:27 Settings - API Key and endpoint documentation
12:48 Settings - LLM preference
12:56 Settings - Vector database preference
13:05 Settings - Exporting or importing AnythingLLM snapshots
13:17 Settings - Security settings
12:30 Wrapping up!

#openai #chatgpt4 #chatwithdocs #localgpt #privategpt #gpt #useGPT #gpt4all #ai #aitools #aitools2023 #aitoolsforbusiness #opensource #openaiapi #nodejs #reactjs #opensourcesoftware #ai #aiagents #claude #anthropic #vectordatabase #privategpt

[mccdan]

Very well done Tim. Nice UI, good features, professional Web site. Keep up the good work!

[crimsonhawk]

This needs more press. More people need to know about this. Awesome!

[student]

This is Awesome 🤜🤛. I have trailed countless llm chatbot over the past 6 month's with varied results but none have come close with respect to the accuracy = trust. Anything LLM is so close to being a perfect all-rounder i am really looking forward to watching this develop into something super amazing. Well done team Anything LLM. Will be in contact soon with some realworld UI suggestion and features. 🎉

[DallasMcMillan]

Great job Tim, major accomplishment and well executed OS project. Impressive!

[ArdeniusYT]

hi, this is really cool. this is really amazing work, thank you.
i have a few feedback points, maybe they are on the upgrade list already:
1. add user payment (paypal, stripe, ... etc) to individually price different workspaces or charge monthly subscriptions
2. add user registration
3. allow users to upload documents
4. maybe a front page to customize would be nice to have with the user registration and login
5. add a place to upload a local llm
6. add a place to download the local embedding files and vector db fore each separate workspace
7. all a place to put privacy policy with the links at the bottom left.


again thank you very much for the amazing work, this will get huge very fast.

[mokiloke]

Looking great. Seems so much more user friendly that others ive tried. Quivr was a pain. This looks easy, though i havent had time to try it out.

[JimMendenhall]

This looks amazing! Thank you so much for your work on this!

[AjayKumar-iohv]

I have an issue document could not be imbedded? How to resolve this?

[phllr]

Is there a way to integrate Fabric in to AnythingLLM even with using a cli command with or without stitching?

[rowenhusky]

Hey @Tim, I didn't see it on the github page but do you have support for SAML? I want to deploy this at work.

[Zvezdan]

The product looks great. I watched at 1.5 speed and only then the video is normal speed 😂

[macedit]

Hi. support openid login like keycloak?

[elijahgavrilov]

How to adjust prompt to make model act under a specific role?

[Joe-otbo]

Hate to sound like an ingrate but until this supports local LLMs I will hold my stoke. Side bar, I will admit I am more of a layman but how is this different from using langchain? Is it just a Ui to the same tech that langchain uses?

[newfoundman]

Could not get it to run "keeps saying model required"

[speed]

Tim, would you please provide a quick competitive analysis ? I like what I see, but there’s just so many tools out there that are reading local pdfs.

[faridullahkhan]

this looks like an amazing project. I am going to try it out now. Would love to see multiple AI agents in single workspace. Something like microsoft's autogen incorporated in. Maybe give each agent a different vector db and again in same single workspace. Like workspace for marketing, and inside have lets say we create a marketing dept workspace and in there we have copywriter agent with its own vectordb related to copywriting, we can have a planner agent with its own marketing planning or strategies vectordb etc. That would be amzing :)

[snehasissnehasis-cosn]

How to deploy anything -llm on docker for windows pc. Please make a step by step Video with attached all the codes with database ....

[JRMI]

I have company knowledge base docs that are probably 50-70 pages of info (all well labeled but disorganized) could AnythingLLM COHERENTLY read the document and organize all of it into an outline so I could turn 50+ pages into well structured and nested info (like a table of contents). I’ve seen many AI “doc readers” make claims but in practice they all miss tons of info, and barely provide any real value. Please tell me this is different haha

[tomjeff]

@TimCarambat Hey Tim, Can you share what is the New Thread that you have on your new version? I understand the new WS, but for the new Thread, will it have a separate DB for the conversation or will it keep track of the memory and data from the previous Thread? why do we need to create a new one? is there any word count limit? tnx