Implemented Corpus Management with Chroma and SQLite
- Day: 2025-11-15
- Time: 17:55 to 18:25
- Project: Dev
- Workspace: WP 2: Operational
- Status: In Progress
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Chroma, Sqlite, Pdf Processing, Python, Corpus Management
Description
Session Goal
The session aimed to implement a corpus management system leveraging Chroma and SQLite to enhance data processing capabilities with full-text search and efficient data retrieval.
Key Activities
- Corpus Management System: Developed a practical plan for implementing a corpus management system using Chroma and SQLite, including storage schema, embedding strategies, and ingestion flows.
- Hierarchical Embedding Flow: Analyzed existing code for hierarchical embeddings, identified structural gaps, and suggested enhancements.
- Function Management: Planned the adaptation of functions into a new repository with a structured module layout and QA checklist.
- PDF Processing: Developed scripts for text extraction from PDFs using PyPDF2 and pdfplumber, and explored conversion to Markdown using GROBID and PyMuPDF.
Achievements
- Established a comprehensive plan for corpus management with actionable code examples.
- Enhanced code structure for hierarchical embeddings.
- Created a detailed plan for function management and repository setup.
- Implemented scripts for PDF text extraction and conversion insights.
Pending Tasks
- Further refine the hierarchical embedding flow based on identified gaps.
- Complete the function adaptation and QA process for the new repository.
Evidence
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- event_ids: []