https://github.com/divakarkumarp/rag-chat-with-documents

Chainlit app for RAG chat with documents Parsing PDF documents using LlamaParse, Qdrant, and the Groq model
https://github.com/divakarkumarp/rag-chat-with-documents

chainlit groq langchain langchainsmith llamaparse python3 qdrant

Last synced: about 1 month ago
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Chainlit app for RAG chat with documents Parsing PDF documents using LlamaParse, Qdrant, and the Groq model

• Host: GitHub
• URL: https://github.com/divakarkumarp/rag-chat-with-documents
• Owner: divakarkumarp
• Created: 2024-03-31T11:23:18.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-30T10:23:55.000Z (12 months ago)
• Last Synced: 2025-04-14T18:08:13.673Z (about 1 month ago)
• Topics: chainlit, groq, langchain, langchainsmith, llamaparse, python3, qdrant
• Language: Python
• Homepage:
• Size: 25.5 MB
• Stars: 3
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# RAG-Chat-with-Documents

Chainlit app for RAG chat with documents Parsing PDF documents using LlamaParse, Qdrant, and the Groq model.

 

* LlamaParse 🦙 - Qdrant - Groq - Chainlit

## Overview:

Software And Tools Requirements

1. [Github](https://github.com)

2. [VSCodeIDE](https://code.visualstudio.com/)

3. [LlamaParse](https://cloud.llamaindex.ai/)

4. [Qdrant](https://cloud.qdrant.io/)

5. [Groq](https://groq.com/)

6. [Ollama](https://ollama.com/)

7. [Langchain🦜](https://www.langchain.com/)

8. [Langchain Smith 🦜](https://smith.langchain.com/o/32390bae-a13d-5a53-b61b-501e3f39e496/projects/p/7e7575b9-5a88-46e5-b7d1-819569ebb004?timeModel=%7B%22duration%22%3A%227d%22%7D&tab=0)

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### Technologies Used:

![](https://forthebadge.com/images/badges/made-with-python.svg)

[](https://cloud.llamaindex.ai/)    [](https://cloud.qdrant.io/) [](https://groq.com/) [](https://ollama.com/) [](https://numpy.org) [](https://docs.chainlit.io/get-started/overview)