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Software Architecture Design

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linda.najar edited this page Feb 6, 2024 · 1 revision

Overview

This software leverages a sophisticated architecture to deliver information from the RTDIP Repository through a chat interface. Utilizing LangChain for intelligent process orchestration, the LLM for advanced response generation, and Streamlit for an intuitive user interface, the system ensures a seamless user experience. Software Architecture

Components

  • Streamlit UI: The user-facing component, presenting a streamlined chat interface for inputting queries. Designed for ease of use, it guides users through the query process with a clean and responsive layout.
  • Langchain: This component acts as a bridge between the Streamlit UI and the OpenAI model and the content store. It processes user queries and handles the logic for chaining different components together.
  • Vector DB (Chroma): Chroma is a vector database optimized for high-speed semantic searches, crucial for fetching pertinent information swiftly.
  • OpenAI Model: At the heart of response formulation, the LLM taps into the rich data from Vector DB to construct accurate and contextually relevant answers to user queries.
  • RTDIP Repository: The source of content, this repository houses the documents that are methodically chunked and segmented to prepare for the embedding process.

Workflow

  • User Query Initiation: Interaction commences with the user entering a query into the Streamlit UI.
  • Query Transmission: Streamlit UI relays the query to LangChain for processing.
  • Semantic Search Activation: LangChain conducts a semantic search within Vector DB (Chroma), leveraging generated embeddings to pinpoint relevant RTDIP Data.
  • Response Formulation: The LLM crafts a response using the retrieved data, ensuring relevance and accuracy.
  • Response Delivery: LangChain routes the generated response back to Streamlit UI, culminating in the display of the answer to the user.

Key Features

  • Intuitive Interaction: The Streamlit UI is engineered for accessibility, simplifying query input and comprehension of responses.
  • Streamlined Data Flow: LangChain guarantees a smooth and efficient data exchange between interfaces and databases, contributing to system responsiveness.
  • Advanced Semantic Search: The inclusion of semantic search capabilities allows the system to understand and fulfill user queries with a high degree of relevance.
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