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Update screenshots of new UI
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Update README to point to updated YT video
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timothycarambat committed Oct 25, 2023
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27 changes: 20 additions & 7 deletions README.md
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</p>

<p align="center">
<b>AnythingLLM: A business-compliant document chatbot</b>. <br />
A hyper-efficient and open-source enterprise-ready document chatbot solution for all.
<b>AnythingLLM: A document chatbot to chat with <i>anything!</i></b>. <br />
An efficient, customizable, and open-source enterprise-ready document chatbot solution.
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</a>
</p>

A full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use. Currently this project supports [Pinecone](https://pinecone.io), [ChromaDB](https://trychroma.com) & more for vector storage and [OpenAI](https://openai.com) for LLM/chatting.
A full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use.


![Chatting](/images/screenshots/chat.png)
![Chatting](/images/screenshots/chatting.gif)
[view more screenshots](/images/screenshots/SCREENSHOTS.md)

### Watch the demo!

[![Watch the video](/images/youtube.png)](https://youtu.be/0vZ69AIP_hM)
[![Watch the video](/images/youtube.png)](https://youtu.be/f95rGD9trL0)


### Product Overview
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- Each chat response contains a citation that is linked to the original content
- Simple technology stack for fast iteration
- 100% Cloud deployment ready.
- "Bring your own LLM" model. _still in progress - openai support only currently_
- "Bring your own LLM" model.
- Extremely efficient cost-saving measures for managing very large documents. You'll never pay to embed a massive document or transcript more than once. 90% more cost effective than other document chatbot solutions.
- Full Developer API for custom integrations!

### Supported LLMs and Vector Databases
**Supported LLMs:**
- OpenAI
- Azure OpenAI
- Anthropic ClaudeV2

**Supported Vector Databases:**
- [LanceDB](https://github.com/lancedb/lancedb) (default)
- [Pinecone](https://pinecone.io)
- [Chroma](https://trychroma.com)
- [Weaviate](https://weaviate.io)
- [QDrant](https://qdrant.tech)


### Technical Overview
This monorepo consists of three main sections:
- `collector`: Python tools that enable you to quickly convert online resources or local documents into LLM useable format.
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![Homescreen](./home.png)

### Document Manager
means the current version of the document has been embedded before and will not cost money to convert into a vector!
`Cached` means the current version of the document has been embedded before and will not cost money to convert into a vector!
![Document Manager](./document.png)

### Document Uploading & Embedding
![Uploading Document](./uploading_doc.gif)

### Chatting
![Chatting](./chat.png)
![Chatting](./chatting.gif)

### Setup check
![Setup check](./keys.png)
### Settings & Configs
![LLM Selection](./llm_selection.png)
![Vector Database Selection](./vector_databases.png)
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