Developed and Enhanced Text Processing Toolkit

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📅 2025-02-10 — Session: Developed and Enhanced Text Processing Toolkit

🕒 18:20–19:40
🏷️ Labels: FAISS, Langchain, Text Processing, Error Handling, Querying
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to develop and enhance a text processing toolkit, focusing on querying capabilities for a FAISS knowledge base and resolving various programming challenges.

Key Activities

  • Building a Query Toolkit: Developed a querying toolkit for a FAISS knowledge base using LangChain, implementing various query functions.
  • Error Resolution: Resolved ImportError for LanguageTextSplitter in LangChain by updating packages and modifying import statements.
  • Dynamic Text Splitter: Implemented a dynamic text splitter for various file formats, improving text processing capabilities.
  • MIME Type Handling: Updated functions to handle MIME types in text processing, mapping them to appropriate text splitters.
  • Text Splitter Function Update: Corrected and enhanced the get_text_splitter function for MIME types.
  • Error Handling in spaCy: Addressed missing spaCy model error by providing installation solutions.
  • Function Enhancements: Enhanced the process_chunks function to count and display character and word counts for text chunks.
  • Data Storage Planning: Outlined a structured map for data storage, focusing on file organization and metadata.
  • Querying Strategy Design: Designed querying needs across AI workflows for efficient information retrieval.

Achievements

  • Successfully developed a robust querying toolkit for FAISS.
  • Resolved multiple programming errors and improved text processing functions.

Pending Tasks

  • Further testing and validation of the querying toolkit and text processing functions.
  • Integration of the toolkit with existing AI workflows.

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