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ML-Nagpur / Cool-Notebooks

An extensive collection of data and artificial intelligence (AI) notebook templates, curated to encompass models, analytics, code snippets, and a variety of resources. ~ Team ML Nagpur
MIT License
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LangChain based Chat Retrival Chatbot! #23

Closed prasanna-muppidwar closed 10 months ago

prasanna-muppidwar commented 10 months ago

The goal is to build a chatbot capable of retrieving relevant responses from a pre-existing dataset such as CSV, TSV or knowledge base using LangChain.

  1. Ensure the chatbot can understand user queries effectively, considering variations in language, context, and intent.
  2. Implement an efficient retrieval mechanism using LangChain to search through the knowledge base and retrieve the most relevant responses.
  3. Aim for quick response times, especially in scenarios where the chatbot needs to provide instant answers.

Integrate LangChain into the chatbot's architecture to leverage its language processing capabilities, including semantic understanding and context analysis.Create a comprehensive knowledge base containing relevant information, responses, or FAQs that the chatbot can retrieve from.Implement a retrieval algorithm using LangChain to match user queries with the most appropriate responses from the knowledge base. Once a relevant response is retrieved, employ LangChain for response generation to ensure natural language flow and coherence.

prasanna-muppidwar commented 10 months ago

Added Successfully!