The Kapso knowledge graph: imported domain knowledge

from kapso import Kapso

# One-time: Index wiki pages
kapso = Kapso()
kapso.index_kg(
    wiki_dir="data/wikis_llm_finetuning",
    save_to="data/indexes/llm_finetuning.index",
)

# Every time: Load existing index
kapso = Kapso(kg_index="data/indexes/llm_finetuning.index")
solution = kapso.evolve(goal="Fine-tune LLaMA with QLoRA")

from kapso import Kapso, Source

kapso = Kapso()

# Ingest a repository
kapso.learn_knowledge(
    Source.Repo("https://github.com/huggingface/transformers"),
    wiki_dir="data/wikis",
)

# Ingest web research
findings = kapso.research("QLoRA best practices")
kapso.learn_knowledge(findings, wiki_dir="data/wikis")

from kapso import Kapso

kapso = Kapso()

# Research without persisting to the knowledge graph
findings = kapso.research(
    "unsloth FastLanguageModel example",
    mode=["idea", "implementation"],
    depth="deep",
)

# Use research as context
solution = kapso.evolve(
    goal="Fine-tune with Unsloth + LoRA",
    context=[findings.to_string()],
)

# Start Weaviate and Neo4j
./scripts/start_infra.sh

# Stop infrastructure
./scripts/stop_infra.sh