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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.