API

The API of Rakam Systems is designed to handle the core functionalities of vector store management, content extraction, node processing, and retrieval-augmented generation (RAG) using large language models (LLMs).

Below are the key modules and classes available in this library.

• Core Module
  • Classes
  • VSFile
  • Node
  • NodeMetadata
• Vector Store Module
  • Classes
  • VectorStores
• Agents Module
  • Classes
  • Agent
  • Action
  • ClassifyQuery
  • PromptGeneration
  • RAGGeneration
• LLM Module
  • Classes
  • LLM
• Node Processor Module
• Data Processor Module
• Tutorial: Hands-on with Rakam Systems
  • Prerequisites
  • Step 1: Setting Up the Environment
  • Step 2: Extracting Content from Documents
  • Step 3: Creating a Vector Store from Extracted Content
  • Step 4: Adding New Files to the Vector Store
  • Step 5: Searching the Vector Store
  • Step 6: Deleting Files and Nodes
  • Step 7: Adding New Nodes to the Vector Store
  • Step 8: Reloading the Vector Store
  • Conclusion