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Step 1: Install Necessary Libraries

  • Install the required libraries, including LangChain, OpenAI, and TikToken, to enable efficient text processing.

Step 2: Import Essential Modules

  • Import essential modules such as TextLoader for loading text files, RecursiveCharacterTextSplitter for chunking strategies, and OpenAI embeddings for embedding operations.

Step 3: Text Chunking

  • Utilize the RecursiveCharacterTextSplitter to segment text into manageable chunks.
  • Configure the chunk size to 1024 characters with an overlap of 48 characters for optimal processing.
  • Conduct a test embedding to ensure the embedding system functions correctly, validating the effectiveness of the text chunking process.

Step 4: Setting Up PostgreSQL with Vector Extension

  • Install psycopg2-binary and pgvector packages to facilitate database operations.
  • Define the PostgreSQL connection string, specifying the IP address and database name.
  • Initialize PostgreSQL container with the vector extension enabled to enhance database functionality.

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Create vector database in postgres using pgvector

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