GenAI Stack (old)
v0.1.0
v0.1.0
  • Getting Started
    • 📚Introduction
    • 🚀Quickstart with colab
    • 📘Default Data Types
    • 🪛Installation
  • Components
    • ✨Introduction
    • 🚜Data Extraction and Loading
      • 🔥Quickstart
      • 📖Advanced Usage
    • 🔮Vector Database
      • 🔥Quickstart
      • 📦Chromadb
      • 📦Weaviate
      • 📖Advanced Usage
    • 📤Retrieval
    • 🦄LLMs
      • OpenAI
      • GPT4All
      • Custom Model
      • 📖Advanced Usage
  • Example Use Cases
    • 💬Chat on PDF
    • âš¡Chat on Webpage
    • 📜Chat on PDF with UI
  • 🧑CONTRIBUTING.md
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  1. Components
  2. Vector Database

Advanced Usage

Vectordb Configuration Structure

The vectordb configuration consists of several key components:

"vectordb": {
    "name": "vectordb_name",
    "class_name": "entity_class",
    "embedding": {
        "name": "embedding_component_name",
        "fields": {
            "parameter_name": "parameter_value",
            ...
        }
    }
}

In this configuration:

  • "name": Specifies the name of the vectordb.

  • "class_name": Specifies the class or type associated with the data stored in the vectordb.

  • "embedding" (Optional): Contains details about the default embedding component, "HuggingFaceEmbeddings," which is used by default.

    • "name": Specifies the name of the embedding component.

    • "fields": Includes default parameters for the embedding component.

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Last updated 1 year ago

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