https://github.com/yukta026/contextual-knowledge-search-platform

The Contextual Knowledge Search Platform is a chatbot interface designed to make information retrieval easy and efficient. It employs a Retrieval-Augmented Generation (RAG) model that leverages Cohere LLM for language understanding and Chroma DB for storing vector embeddings
https://github.com/yukta026/contextual-knowledge-search-platform

chromadb cohere genai mongodb python3 rag

Last synced: 5 months ago
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The Contextual Knowledge Search Platform is a chatbot interface designed to make information retrieval easy and efficient. It employs a Retrieval-Augmented Generation (RAG) model that leverages Cohere LLM for language understanding and Chroma DB for storing vector embeddings

• Host: GitHub
• URL: https://github.com/yukta026/contextual-knowledge-search-platform
• Owner: Yukta026
• Created: 2024-08-16T18:25:16.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-18T02:00:18.000Z (about 1 year ago)
• Last Synced: 2025-02-16T21:12:40.096Z (8 months ago)
• Topics: chromadb, cohere, genai, mongodb, python3, rag
• Language: JavaScript
• Homepage:
• Size: 33.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
The Contextual Knowledge Search Platform is a chatbot interface designed to make information retrieval easy and efficient. 

It employs a Retrieval-Augmented Generation (RAG) model that leverages Cohere LLM for language understanding and Chroma DB for storing vector embeddings.

The Contextual Knowledge Search Platform, being an on-premise solution, ensures enhanced security and data privacy by keeping company data within the organization's own secure environment.

Architecture diagram - 







Project demo - 

1) Upload file - 







2) Chatbot answering user queries -