eyecore

Core data retrieval and organisation library — SQLite DB management, topic graph, corpus management, and LLM integration.

Features

  • BaseDB — lazy SQLite connection with transparent .db.gz decompression to user cache
  • TopicGraph — generalized topic registry with parent/child relationships, BFS traversal, and typed links
  • CorpusManager — on-demand corpus checkout (Project Gutenberg, URL, git) with FTS5 indexing
  • LLMClient — lazy-loaded LLM wrapper with auto-detected backends (Ollama, llama-cpp, OpenAI-compatible)
  • compress_db / decompress_to_cache — platform-aware compression utilities for bake scripts

Installation

pip install eyecore

With optional extras:

pip install "eyecore[llm-ollama]"   # Ollama backend
pip install "eyecore[llm-cpp]"      # llama-cpp-python backend
pip install "eyecore[llm-openai]"   # OpenAI-compatible backend
pip install "eyecore[corpus]"       # corpus download support

Quick start

from pathlib import Path
from eyecore import BaseDB, TopicGraph, CorpusManager, LLMClient

# Lazy SQLite — decompresses .db.gz to user cache on first access
db = BaseDB("myapp", gz_path=Path("data/myapp.db.gz"))
rows = db.fetchall("SELECT * FROM entities LIMIT 10")

# Topic graph
graph = TopicGraph(db.conn)
related = graph.get_related("topic-id")
tree    = graph.subtree("root-id")

# LLM — auto-detects Ollama / llama-cpp / OpenAI
llm = LLMClient.get()
if llm.is_available():
    summary = llm.summarize("Some long text to summarize...")
    topics  = llm.extract_topics("Article text about AI and machine learning...")
    report  = llm.generate_report(articles, "Technology", "title", "summary")

LLM configuration

Configure via environment variables:

Variable Default Description
LLM_BACKEND auto ollama, llama-cpp, or openai
LLM_MODEL llama3 Model name (Ollama) or model ID (OpenAI)
LLM_HOST http://localhost:11434 Ollama server URL
LLM_MODEL_PATH — Path to GGUF model file (llama-cpp)
OPENAI_API_KEY — API key for OpenAI-compatible endpoints
OPENAI_BASE_URL — Base URL for OpenAI-compatible endpoints

License

MIT — see LICENSE

Project links

Data verified by PyPI on Aug 30, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Latest release

1 maintainer

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Avatar for AndrewWatts from gravatar.com AndrewWatts

Credits

Author: Andrew Watts

GitHub Statistics

Data verified by PyPI on Aug 30, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License

Requires

Python >=3.10

Provides Extra

corpus feed llm llm-cpp llm-ollama llm-openai test

Tags

database knowledge-graph corpus llm

Classifiers

Report project as malware

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