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</svg>
|
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|
After Width: | Height: | Size: 52 KiB |
BIN
ontology_platform/vendored/ontocast/docs/assets/logo.png
Normal file
BIN
ontology_platform/vendored/ontocast/docs/assets/logo.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 14 KiB |
BIN
ontology_platform/vendored/ontocast/docs/assets/project_logo.png
Normal file
BIN
ontology_platform/vendored/ontocast/docs/assets/project_logo.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 1.9 KiB |
@@ -0,0 +1,20 @@
|
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 96 96">
|
||||
<defs>
|
||||
<style>
|
||||
@import url('https://fonts.googleapis.com/css2?family=Open+Sans:wght@700');
|
||||
.icon-stroke { stroke: #BE5103; stroke-width: 4; fill: none; }
|
||||
.text { font: bold 44px 'Open Sans', sans-serif; fill: #293241; }
|
||||
</style>
|
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</defs>
|
||||
|
||||
<g transform="translate(0 0)">
|
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<circle cx="65" cy="32" r="15" fill="none" stroke-width="4" stroke="#8b1f6b" />
|
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<circle cx="22" cy="44" r="8" fill="none" stroke-width="4" stroke="#8b1f6b" />
|
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<circle cx="63" cy="73" r="8" fill="none" stroke-width="4" stroke="#8b1f6b" />
|
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<line x1="30" y1="39" x2="49" y2="33" stroke-width="3" stroke="#8b1f6b" stroke-linecap="round" />
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<line x1="31" y1="45" x2="51" y2="39" stroke-width="3" stroke="#8b1f6b" stroke-linecap="round" />
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<line x1="64" y1="48" x2="63" y2="64" stroke-width="4" stroke="#8b1f6b" stroke-linecap="round" />
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</g>
|
||||
|
||||
<!-- <text x="85" y="60" class="text">GraphCast</text>-->
|
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</svg>
|
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|
After Width: | Height: | Size: 991 B |
81
ontology_platform/vendored/ontocast/docs/contributing.md
Normal file
81
ontology_platform/vendored/ontocast/docs/contributing.md
Normal file
@@ -0,0 +1,81 @@
|
||||
# Contributing to Suthing
|
||||
|
||||
We welcome contributions to Suthing! This document provides guidelines and instructions for contributing to the project.
|
||||
|
||||
## Getting Started
|
||||
|
||||
1. Fork the repository on GitHub
|
||||
2. Clone your fork locally
|
||||
3. Install the development dependencies:
|
||||
```bash
|
||||
uv sync --all-groups --extra doc-processing
|
||||
```
|
||||
4. Install pre-commit hooks:
|
||||
```bash
|
||||
pre-commit install
|
||||
```
|
||||
|
||||
## Development Workflow
|
||||
|
||||
1. Create a new branch for your feature or bugfix:
|
||||
```bash
|
||||
git checkout -b feature/your-feature-name
|
||||
```
|
||||
|
||||
2. Make your changes and ensure tests pass:
|
||||
```bash
|
||||
pytest test
|
||||
```
|
||||
|
||||
3. Commit your changes with a descriptive message:
|
||||
```bash
|
||||
git commit -m "Add feature: your feature description"
|
||||
```
|
||||
|
||||
4. Push your branch to your fork:
|
||||
```bash
|
||||
git push origin feature/your-feature-name
|
||||
```
|
||||
|
||||
5. Create a Pull Request on GitHub
|
||||
|
||||
## Code Style
|
||||
|
||||
- Follow [PEP 8](https://www.python.org/dev/peps/pep-0008/) style guidelines
|
||||
- Use type hints for all function parameters and return values
|
||||
- Write docstrings following the Google style
|
||||
- Keep functions focused and small
|
||||
- Add tests for new features
|
||||
|
||||
## Documentation
|
||||
|
||||
- Update relevant documentation when adding new features
|
||||
- Add docstrings to all new functions and classes
|
||||
- Include examples in docstrings where appropriate
|
||||
- Update the changelog for significant changes
|
||||
|
||||
## Testing
|
||||
|
||||
- Write tests for all new features
|
||||
- Ensure all tests pass before submitting a PR
|
||||
- Add tests for bug fixes
|
||||
- Maintain or improve test coverage
|
||||
|
||||
## Pull Request Process
|
||||
|
||||
1. Ensure your PR description clearly describes the problem and solution
|
||||
2. Include relevant tests
|
||||
3. Update documentation as needed
|
||||
4. Ensure all CI checks pass
|
||||
5. Request review from maintainers
|
||||
|
||||
## Reporting Issues
|
||||
|
||||
When reporting issues, please include:
|
||||
|
||||
- Python version
|
||||
- Suthing version
|
||||
- Steps to reproduce
|
||||
- Expected behavior
|
||||
- Actual behavior
|
||||
- Any relevant error messages
|
||||
26
ontology_platform/vendored/ontocast/docs/gen_pages.py
Normal file
26
ontology_platform/vendored/ontocast/docs/gen_pages.py
Normal file
@@ -0,0 +1,26 @@
|
||||
from pathlib import Path
|
||||
|
||||
import mkdocs_gen_files
|
||||
|
||||
nav = mkdocs_gen_files.Nav()
|
||||
pname = "ontocast"
|
||||
|
||||
for path in sorted(Path(pname).rglob("*.py")):
|
||||
module_path = path.relative_to(pname).with_suffix("")
|
||||
doc_path = path.relative_to(pname).with_suffix(".md")
|
||||
full_doc_path = Path("reference", doc_path)
|
||||
|
||||
parts = list(module_path.parts)
|
||||
|
||||
if parts[-1] == "__init__":
|
||||
parts = parts[:-1]
|
||||
if not parts:
|
||||
continue
|
||||
parts_str: tuple[str, ...] = tuple(parts)
|
||||
nav[parts_str] = str(full_doc_path)
|
||||
|
||||
with mkdocs_gen_files.open(full_doc_path, "w") as f:
|
||||
ident = ".".join([pname] + parts)
|
||||
f.write(f"# `{ident}`\n\n::: {ident}\n")
|
||||
|
||||
mkdocs_gen_files.set_edit_path(full_doc_path, path)
|
||||
@@ -0,0 +1,28 @@
|
||||
# Installation
|
||||
|
||||
This guide will help you install OntoCast and its dependencies.
|
||||
|
||||
## System Requirements
|
||||
|
||||
- Python 3.12 or higher
|
||||
- uv (Python package installer)
|
||||
|
||||
## Installation Steps
|
||||
|
||||
```bash
|
||||
uv add ontocast
|
||||
```
|
||||
|
||||
or
|
||||
|
||||
|
||||
```bash
|
||||
pip install ontocast
|
||||
```
|
||||
|
||||
## Next Steps
|
||||
|
||||
After installation, you can:
|
||||
|
||||
1. Read the [Quick Start](quickstart.md) guide
|
||||
3. Check the [API Reference](../reference/onto.md) for detailed documentation
|
||||
@@ -0,0 +1,169 @@
|
||||
# Quick Start
|
||||
|
||||
This guide will help you get started with OntoCast quickly. We'll walk through a simple example of processing a document and viewing the results.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
- OntoCast installed (see [Installation](installation.md))
|
||||
- A sample document to process (e.g., a pdf or a markdown file)
|
||||
|
||||
## Basic Example
|
||||
|
||||
### Query the Server
|
||||
|
||||
```bash
|
||||
curl -X POST http://url:port/process -F "file=@sample.pdf"
|
||||
|
||||
curl -X POST http://url:port/process -F "file=@sample.json"
|
||||
```
|
||||
|
||||
`url` would be `localhost` for a locally running server, default port is 8999
|
||||
|
||||
### Running a Server
|
||||
|
||||
To start an OntoCast server:
|
||||
|
||||
```bash
|
||||
# Backend automatically detected from .env configuration
|
||||
ontocast --env-path .env
|
||||
|
||||
# Process specific file
|
||||
ontocast --env-path .env --input-path ./document.pdf
|
||||
|
||||
# Process with chunk limit (for testing)
|
||||
ontocast --env-path .env --head-chunks 5
|
||||
```
|
||||
|
||||
- Backend selection is **fully automatic** based on available configuration
|
||||
- No explicit backend flags needed - just provide the required credentials/paths in .env
|
||||
- All paths and directories are configured via .env file
|
||||
|
||||
### Configuration
|
||||
|
||||
OntoCast uses a hierarchical configuration system with environment variables. Create a `.env` file in your project directory:
|
||||
|
||||
```bash
|
||||
# Domain configuration (used for URI generation)
|
||||
CURRENT_DOMAIN=https://example.com
|
||||
PORT=8999
|
||||
LLM_TEMPERATURE=0.0
|
||||
|
||||
# LLM Configuration
|
||||
LLM_PROVIDER=openai
|
||||
LLM_API_KEY=your-api-key-here
|
||||
LLM_MODEL_NAME=gpt-4o-mini
|
||||
|
||||
# Server Configuration
|
||||
MAX_VISITS=3
|
||||
BASE_RECURSION_LIMIT=1000
|
||||
ESTIMATED_CHUNKS=30
|
||||
RENDER_MODE=ontology_and_facts
|
||||
ONTOLOGY_MAX_TRIPLES=50000
|
||||
PARALLEL_WORKERS=4
|
||||
PARALLEL_FACTS_RETRIES=3
|
||||
PARALLEL_ONTOLOGY_RETRIES=3
|
||||
ENABLE_ONTOLOGY_CONSOLIDATION=false
|
||||
|
||||
# Backend Configuration (auto-detected)
|
||||
FUSEKI_URI=http://localhost:3032/test
|
||||
FUSEKI_AUTH=admin:password
|
||||
ONTOCAST_WORKING_DIRECTORY=/path/to/working
|
||||
|
||||
# Path Configuration (required for filesystem backends)
|
||||
ONTOCAST_WORKING_DIRECTORY=/path/to/working/directory
|
||||
ONTOCAST_ONTOLOGY_DIRECTORY=/path/to/ontology/files
|
||||
ONTOCAST_CACHE_DIR=/path/to/cache/directory
|
||||
|
||||
# Triple Store Configuration (optional)
|
||||
# For Neo4j
|
||||
NEO4J_URI=bolt://localhost:7687
|
||||
NEO4J_AUTH=username:password
|
||||
|
||||
# For Fuseki
|
||||
FUSEKI_URI=http://localhost:3030
|
||||
FUSEKI_AUTH=username:password
|
||||
FUSEKI_DATASET=dataset_name
|
||||
FUSEKI_ONTOLOGIES_DATASET=ontologies
|
||||
|
||||
# Optional aggregation controls
|
||||
AGG_EMBEDDING_MODEL=paraphrase-multilingual-MiniLM-L12-v2
|
||||
AGG_SIMILARITY_THRESHOLD=0.80
|
||||
|
||||
# Optional web-search grounding
|
||||
WEB_SEARCH_ENABLED=false
|
||||
WEB_SEARCH_PROVIDER=duckduckgo
|
||||
WEB_SEARCH_TOP_K=3
|
||||
```
|
||||
|
||||
#### Alternative: Ollama Configuration
|
||||
|
||||
```bash
|
||||
# For Ollama
|
||||
LLM_PROVIDER=ollama
|
||||
LLM_BASE_URL=http://localhost:11434
|
||||
LLM_MODEL_NAME=granite3.3
|
||||
```
|
||||
|
||||
### CLI Parameters
|
||||
|
||||
You can use these CLI parameters:
|
||||
|
||||
```bash
|
||||
# Use custom .env file
|
||||
ontocast --env-path /path/to/custom.env
|
||||
|
||||
# Process specific input file
|
||||
ontocast --env-path .env --input-path /path/to/document.pdf
|
||||
|
||||
# Process only first 5 chunks (for testing)
|
||||
ontocast --env-path .env --head-chunks 5
|
||||
```
|
||||
|
||||
**Note:** All paths and directories are configured via the `.env` file - no CLI overrides needed.
|
||||
|
||||
### Receive Results
|
||||
|
||||
After processing, the ontology and the facts graph are returned in turtle format
|
||||
|
||||
```json
|
||||
{
|
||||
"data": {
|
||||
"facts": "# facts in turtle format",
|
||||
"ontology": "# ontology in turtle format"
|
||||
}
|
||||
...
|
||||
}
|
||||
```
|
||||
|
||||
## Configuration System
|
||||
|
||||
OntoCast uses a hierarchical configuration system:
|
||||
|
||||
- **ToolConfig**: Configuration for tools (LLM, triple stores, paths)
|
||||
- **ServerConfig**: Configuration for server behavior
|
||||
- **Environment Variables**: Override defaults via `.env` file or environment
|
||||
|
||||
### Key Environment Variables
|
||||
|
||||
| Variable | Description | Default |
|
||||
|----------|-------------|---------|
|
||||
| `LLM_API_KEY` | API key for LLM provider | Required |
|
||||
| `LLM_PROVIDER` | LLM provider (openai, ollama) | openai |
|
||||
| `LLM_MODEL_NAME` | Model name | gpt-4o-mini |
|
||||
| `FUSEKI_URI` + `FUSEKI_AUTH` | Use Fuseki as main triple store | Auto-detected |
|
||||
| `NEO4J_URI` + `NEO4J_AUTH` | Use Neo4j as main triple store | Auto-detected |
|
||||
| `ONTOCAST_WORKING_DIRECTORY` + `ONTOCAST_ONTOLOGY_DIRECTORY` | Use filesystem as main triple store | Auto-detected |
|
||||
| `ONTOCAST_ONTOLOGY_DIRECTORY` | Ontology files directory | Provide seed ontologies |
|
||||
| `MAX_VISITS` | Maximum visits per node | 3 |
|
||||
| `BASE_RECURSION_LIMIT` | Base recursion limit for workflow | 1000 |
|
||||
| `ONTOLOGY_MAX_TRIPLES` | Maximum triples allowed in ontology graph | 50000 |
|
||||
| `ENABLE_ONTOLOGY_CONSOLIDATION` | Run ontology consolidation pass | false |
|
||||
|
||||
## Next Steps
|
||||
|
||||
Now that you've processed your first document, you can:
|
||||
|
||||
1. Try processing different types of documents (PDF, Word)
|
||||
2. Configure triple stores (Neo4j, Fuseki) for persistent storage
|
||||
3. Check the [API Reference](../reference/onto.md) for more details
|
||||
4. Explore the [User Guide](../user_guide/concepts.md) for advanced usage
|
||||
279
ontology_platform/vendored/ontocast/docs/index.md
Normal file
279
ontology_platform/vendored/ontocast/docs/index.md
Normal file
@@ -0,0 +1,279 @@
|
||||
# OntoCast <img src="https://raw.githubusercontent.com/growgraph/ontocast/refs/heads/main/docs/assets/favicon.ico" alt="Agentic Ontology Triplecast logo" style="height: 32px; width:32px;"/>
|
||||
|
||||
### Agentic ontology-assisted framework for semantic triple extraction
|
||||
|
||||
|
||||
[](https://badge.fury.io/py/ontocast)
|
||||
[](https://pepy.tech/projects/ontocast)
|
||||
[](https://opensource.org/licenses/Apache-2.0)
|
||||
[](https://github.com/growgraph/ontocast/actions/workflows/pre-commit.yml)
|
||||
[](https://doi.org/10.5281/zenodo.17796467)
|
||||
|
||||
---
|
||||
|
||||
## Overview
|
||||
|
||||
OntoCast is a framework for extracting semantic triples (creating a Knowledge Graph) from documents using an agentic, ontology-driven approach. It combines ontology management, natural language processing, and knowledge graph serialization to turn unstructured text into structured, queryable data.
|
||||
|
||||
---
|
||||
|
||||
## Key Features
|
||||
|
||||
- **Ontology-Guided Extraction**: Ensures semantic consistency and co-evolves ontologies
|
||||
- **Entity Disambiguation**: Resolves references across document chunks
|
||||
- **Multi-Format Support**: Handles text, JSON, PDF, and Markdown
|
||||
- **Semantic Chunking**: Splits text based on semantic similarity
|
||||
- **MCP Compatibility**: Implements Model Control Protocol endpoints
|
||||
- **RDF Output**: Produces standardized RDF/Turtle
|
||||
- **Triple Store Integration**: Supports Neo4j (n10s) and Apache Fuseki
|
||||
- **Automatic LLM Caching**: Built-in response caching for improved performance and cost reduction
|
||||
- **GraphUpdate Operations**: Token-efficient SPARQL-based updates instead of full graph regeneration
|
||||
- **Budget Tracking**: Comprehensive tracking of LLM usage and triple generation metrics
|
||||
- **Ontology Versioning**: Automatic semantic versioning with hash-based lineage tracking
|
||||
|
||||
---
|
||||
|
||||
## Applications
|
||||
|
||||
OntoCast can be used for:
|
||||
|
||||
- **Knowledge Graph Construction**: Build domain-specific or general-purpose knowledge graphs from documents
|
||||
- **Semantic Search**: Power search and retrieval with structured triples
|
||||
- **GraphRAG**: Enable retrieval-augmented generation over knowledge graphs (e.g., with LLMs)
|
||||
- **Ontology Management**: Automate ontology creation, validation, and refinement
|
||||
- **Data Integration**: Unify data from diverse sources into a semantic graph
|
||||
|
||||
---
|
||||
|
||||
## Installation
|
||||
|
||||
```sh
|
||||
uv add ontocast
|
||||
# or
|
||||
pip install ontocast
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Configuration
|
||||
|
||||
## Documentation
|
||||
|
||||
- [Quick Start Guide](getting_started/quickstart.md) - Get started quickly
|
||||
- [Configuration System](user_guide/configuration.md) - Detailed configuration guide
|
||||
- [LLM Caching](user_guide/llm_caching.md) - Automatic response caching
|
||||
- [Triple Store Setup](user_guide/triple_stores.md) - Triple store configuration
|
||||
- [User Guide](user_guide/concepts.md) - Core concepts and workflow
|
||||
- [API Reference](reference/onto.md) - Detailed API documentation
|
||||
|
||||
|
||||
### Environment Variables
|
||||
|
||||
Copy the example file and edit as needed:
|
||||
|
||||
```bash
|
||||
cp .env.example .env
|
||||
# Edit with your values
|
||||
```
|
||||
|
||||
**Main options:**
|
||||
```bash
|
||||
# LLM Configuration
|
||||
# common
|
||||
LLM_PROVIDER=openai # or ollama
|
||||
LLM_MODEL_NAME=gpt-4o-mini # ollama model
|
||||
LLM_TEMPERATURE=0.0
|
||||
|
||||
# openai
|
||||
LLM_API_KEY=your_openai_api_key_here
|
||||
|
||||
# ollama
|
||||
LLM_BASE_URL=
|
||||
|
||||
# Server
|
||||
PORT=8999
|
||||
BASE_RECURSION_LIMIT=1000
|
||||
ESTIMATED_CHUNKS=30
|
||||
MAX_VISITS=3
|
||||
RENDER_MODE=ontology_and_facts
|
||||
ONTOLOGY_MAX_TRIPLES=50000
|
||||
PARALLEL_WORKERS=4
|
||||
PARALLEL_FACTS_RETRIES=3
|
||||
PARALLEL_ONTOLOGY_RETRIES=3
|
||||
ENABLE_ONTOLOGY_CONSOLIDATION=false
|
||||
|
||||
# Backend Configuration (auto-detected)
|
||||
FUSEKI_URI=http://localhost:3032/test
|
||||
FUSEKI_AUTH=admin:password
|
||||
ONTOCAST_WORKING_DIRECTORY=/path/to/working
|
||||
|
||||
# Optional: Triple Store Configuration (Fuseki preferred over Neo4j)
|
||||
FUSEKI_URI=http://localhost:3032/test
|
||||
FUSEKI_AUTH=admin/abc123-qwe
|
||||
FUSEKI_DATASET=dataset_name
|
||||
FUSEKI_ONTOLOGIES_DATASET=ontologies
|
||||
|
||||
NEO4J_URI=bolt://localhost:7689
|
||||
NEO4J_AUTH=neo4j/test!passfortesting
|
||||
|
||||
# Aggregation controls
|
||||
AGG_EMBEDDING_MODEL=paraphrase-multilingual-MiniLM-L12-v2
|
||||
AGG_SIMILARITY_THRESHOLD=0.80
|
||||
|
||||
# Optional web grounding
|
||||
WEB_SEARCH_ENABLED=false
|
||||
WEB_SEARCH_PROVIDER=duckduckgo
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Triple Store Setup
|
||||
|
||||
OntoCast supports multiple triple store backends. When both Fuseki and Neo4j are configured, **Fuseki is preferred**.
|
||||
|
||||
- See [Triple Store Setup](user_guide/triple_stores.md) for detailed Docker Compose instructions and sample `.env.example` files.
|
||||
- Quick summary: copy and edit the provided `.env.example` in `docker/fuseki` or `docker/neo4j`, then run `docker compose --env-file .env <service> up -d` in the respective directory.
|
||||
|
||||
---
|
||||
|
||||
## Running OntoCast Server
|
||||
|
||||
```bash
|
||||
# Backend automatically detected from .env configuration
|
||||
ontocast --env-path .env
|
||||
|
||||
# Process specific file
|
||||
ontocast --env-path .env --input-path ./document.pdf
|
||||
|
||||
# Process with chunk limit (for testing)
|
||||
ontocast --env-path .env --head-chunks 5
|
||||
```
|
||||
|
||||
- Backend selection is **fully automatic** based on available configuration
|
||||
- No explicit backend flags needed - just provide the required credentials/paths in .env
|
||||
- All paths and directories are configured via .env file
|
||||
|
||||
---
|
||||
|
||||
## API Usage
|
||||
|
||||
- **POST /process**: Accepts `application/json` or file uploads (`multipart/form-data`).
|
||||
- Returns: JSON with extracted facts (Turtle), ontology (Turtle), and processing metadata. Triples are also serialized to the configured triple store.
|
||||
|
||||
**Example:**
|
||||
```bash
|
||||
curl -X POST http://localhost:8999/process \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"text": "Your document text here"}'
|
||||
|
||||
# Process a PDF file
|
||||
curl -X POST http://url:port/process -F "file=@data/pdf/sample.pdf"
|
||||
|
||||
# Process a json file
|
||||
curl -X POST http://url:port/process -F "file=@test2/sample.json"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## MCP Endpoints
|
||||
|
||||
- `GET /health`: Health check
|
||||
- `GET /info`: Service info
|
||||
- `POST /process`: Document processing
|
||||
- `POST /flush`: Flush/clean triple store data (optional `dataset` query parameter for Fuseki)
|
||||
|
||||
---
|
||||
|
||||
## Filesystem Mode
|
||||
|
||||
If no triple store is configured, OntoCast stores ontologies and facts as Turtle files in the working directory.
|
||||
|
||||
---
|
||||
|
||||
## Notes
|
||||
|
||||
- JSON documents must contain a `text` field, e.g.:
|
||||
```json
|
||||
{ "text": "abc" }
|
||||
```
|
||||
- `recursion_limit` is calculated as `max_visits * estimated_chunks` (default 30, or set via `.env`)
|
||||
- Default port: 8999
|
||||
|
||||
---
|
||||
|
||||
## Docker
|
||||
|
||||
To build the OntoCast Docker image:
|
||||
```sh
|
||||
docker buildx build -t growgraph/ontocast:0.1.4 . 2>&1 | tee build.log
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Project Structure
|
||||
|
||||
```
|
||||
ontocast/
|
||||
├── agent/ # Agent workflow and orchestration
|
||||
├── cli/ # CLI utilities and server
|
||||
├── prompt/ # LLM prompt templates
|
||||
├── stategraph/ # State graph logic
|
||||
├── tool/ # Triple store, chunking, and ontology tools
|
||||
├── toolbox.py # Toolbox for agent tools
|
||||
├── onto.py # Ontology and RDF graph handling
|
||||
├── util.py # Utilities
|
||||
```
|
||||
Other directories:
|
||||
- `docker/` – Docker Compose and .env.example files for triple stores
|
||||
- `data/` – Example data, ontologies, and test files
|
||||
- `docs/` – Documentation and user guides
|
||||
- `test/` – Test suite
|
||||
|
||||
---
|
||||
|
||||
## Workflow
|
||||
|
||||
The extraction follows a multi-stage workflow:
|
||||
|
||||
<img src="https://github.com/growgraph/ontocast/blob/main/docs/assets/graph.png?raw=true" alt="Workflow diagram" width="350" style="float: right; margin-left: 20px;"/>
|
||||
|
||||
1. **Document Preparation**
|
||||
- [Optional] Convert to Markdown
|
||||
- Text chunking
|
||||
2. **Ontology Processing**
|
||||
- Ontology selection
|
||||
- Text to ontology triples
|
||||
- Ontology critique
|
||||
3. **Fact Extraction**
|
||||
- Text to facts
|
||||
- Facts critique
|
||||
- Ontology sublimation
|
||||
4. **Chunk Normalization**
|
||||
- Chunk KG aggregation
|
||||
- Entity/Property Disambiguation
|
||||
5. **Storage**
|
||||
- Triple/KG serialization
|
||||
|
||||
---
|
||||
|
||||
|
||||
## Roadmap
|
||||
|
||||
- [x] Add Jena Fuseki triple store for triple serialization
|
||||
- [x] Add Neo4j n10s for triple serialization
|
||||
- [ ] Replace triple prompting with a tool for local graph retrieval
|
||||
|
||||
---
|
||||
|
||||
## Contributing
|
||||
|
||||
Contributions are welcome! Please feel free to submit a Pull Request.
|
||||
|
||||
---
|
||||
|
||||
## Acknowledgments
|
||||
|
||||
- Uses RDFlib for semantic triple management
|
||||
- Uses docling for pdf/pptx conversion
|
||||
- Uses OpenAI language models / open models served via Ollama for fact extraction
|
||||
- Uses langchain/langgraph
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent`
|
||||
|
||||
::: ontocast.agent
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent.chunk_text`
|
||||
|
||||
::: ontocast.agent.chunk_text
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent.common`
|
||||
|
||||
::: ontocast.agent.common
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent.convert_document`
|
||||
|
||||
::: ontocast.agent.convert_document
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent.criticise_facts`
|
||||
|
||||
::: ontocast.agent.criticise_facts
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent.criticise_ontology`
|
||||
|
||||
::: ontocast.agent.criticise_ontology
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent.external_evidence`
|
||||
|
||||
::: ontocast.agent.external_evidence
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent.normalize_ontology`
|
||||
|
||||
::: ontocast.agent.normalize_ontology
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent.render_facts`
|
||||
|
||||
::: ontocast.agent.render_facts
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent.render_ontology`
|
||||
|
||||
::: ontocast.agent.render_ontology
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent.select_ontology`
|
||||
|
||||
::: ontocast.agent.select_ontology
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent.serialize`
|
||||
|
||||
::: ontocast.agent.serialize
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.agent.sublimate_ontology`
|
||||
|
||||
::: ontocast.agent.sublimate_ontology
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.cli`
|
||||
|
||||
::: ontocast.cli
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.cli.batch_process`
|
||||
|
||||
::: ontocast.cli.batch_process
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.cli.cmp_states`
|
||||
|
||||
::: ontocast.cli.cmp_states
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.cli.merge_ontologies`
|
||||
|
||||
::: ontocast.cli.merge_ontologies
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.cli.pdfs_to_markdown`
|
||||
|
||||
::: ontocast.cli.pdfs_to_markdown
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.cli.plot_graph`
|
||||
|
||||
::: ontocast.cli.plot_graph
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.cli.serve`
|
||||
|
||||
::: ontocast.cli.serve
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.cli.split_chunks`
|
||||
|
||||
::: ontocast.cli.split_chunks
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.cli.test_api`
|
||||
|
||||
::: ontocast.cli.test_api
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.cli.util`
|
||||
|
||||
::: ontocast.cli.util
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.config`
|
||||
|
||||
::: ontocast.config
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto`
|
||||
|
||||
::: ontocast.onto
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto`
|
||||
|
||||
::: ontocast.onto
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.constants`
|
||||
|
||||
::: ontocast.onto.constants
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.content_unit`
|
||||
|
||||
::: ontocast.onto.content_unit
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.context`
|
||||
|
||||
::: ontocast.onto.context
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.enum`
|
||||
|
||||
::: ontocast.onto.enum
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.model`
|
||||
|
||||
::: ontocast.onto.model
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.null`
|
||||
|
||||
::: ontocast.onto.null
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.ontology`
|
||||
|
||||
::: ontocast.onto.ontology
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.ontology_operations`
|
||||
|
||||
::: ontocast.onto.ontology_operations
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.rdfgraph`
|
||||
|
||||
::: ontocast.onto.rdfgraph
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.sparql_models`
|
||||
|
||||
::: ontocast.onto.sparql_models
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.state`
|
||||
|
||||
::: ontocast.onto.state
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.unit_states`
|
||||
|
||||
::: ontocast.onto.unit_states
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.onto.util`
|
||||
|
||||
::: ontocast.onto.util
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.prompt`
|
||||
|
||||
::: ontocast.prompt
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.prompt.common`
|
||||
|
||||
::: ontocast.prompt.common
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.prompt.criticise_facts`
|
||||
|
||||
::: ontocast.prompt.criticise_facts
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.prompt.criticise_ontology`
|
||||
|
||||
::: ontocast.prompt.criticise_ontology
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.prompt.render_facts`
|
||||
|
||||
::: ontocast.prompt.render_facts
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.prompt.render_ontology`
|
||||
|
||||
::: ontocast.prompt.render_ontology
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.prompt.select_ontology`
|
||||
|
||||
::: ontocast.prompt.select_ontology
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.stategraph`
|
||||
|
||||
::: ontocast.stategraph
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.stategraph.atomic`
|
||||
|
||||
::: ontocast.stategraph.atomic
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.stategraph.create`
|
||||
|
||||
::: ontocast.stategraph.create
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.stategraph.helpers`
|
||||
|
||||
::: ontocast.stategraph.helpers
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.stategraph.node_factories`
|
||||
|
||||
::: ontocast.stategraph.node_factories
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.stategraph.routing`
|
||||
|
||||
::: ontocast.stategraph.routing
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.stategraph.util`
|
||||
|
||||
::: ontocast.stategraph.util
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool`
|
||||
|
||||
::: ontocast.tool
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.agg`
|
||||
|
||||
::: ontocast.tool.agg
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.agg.aggregate`
|
||||
|
||||
::: ontocast.tool.agg.aggregate
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.agg.clustering`
|
||||
|
||||
::: ontocast.tool.agg.clustering
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.agg.normalizer`
|
||||
|
||||
::: ontocast.tool.agg.normalizer
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.agg.promoter`
|
||||
|
||||
::: ontocast.tool.agg.promoter
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.agg.rewriter`
|
||||
|
||||
::: ontocast.tool.agg.rewriter
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.agg.uri_builder`
|
||||
|
||||
::: ontocast.tool.agg.uri_builder
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.aggregate`
|
||||
|
||||
::: ontocast.tool.aggregate
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.atomic`
|
||||
|
||||
::: ontocast.tool.atomic
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.cache`
|
||||
|
||||
::: ontocast.tool.cache
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.chunk`
|
||||
|
||||
::: ontocast.tool.chunk
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.chunk.chunker`
|
||||
|
||||
::: ontocast.tool.chunk.chunker
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.chunk.util`
|
||||
|
||||
::: ontocast.tool.chunk.util
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.converter`
|
||||
|
||||
::: ontocast.tool.converter
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.graph_diff`
|
||||
|
||||
::: ontocast.tool.graph_diff
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.graph_version_manager`
|
||||
|
||||
::: ontocast.tool.graph_version_manager
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.llm`
|
||||
|
||||
::: ontocast.tool.llm
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.onto`
|
||||
|
||||
::: ontocast.tool.onto
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.ontology_manager`
|
||||
|
||||
::: ontocast.tool.ontology_manager
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.sparql`
|
||||
|
||||
::: ontocast.tool.sparql
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.structured_sparql`
|
||||
|
||||
::: ontocast.tool.structured_sparql
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.triple_manager`
|
||||
|
||||
::: ontocast.tool.triple_manager
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.triple_manager.core`
|
||||
|
||||
::: ontocast.tool.triple_manager.core
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.triple_manager.filesystem_manager`
|
||||
|
||||
::: ontocast.tool.triple_manager.filesystem_manager
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.triple_manager.fuseki`
|
||||
|
||||
::: ontocast.tool.triple_manager.fuseki
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.triple_manager.mock`
|
||||
|
||||
::: ontocast.tool.triple_manager.mock
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.triple_manager.neo4j`
|
||||
|
||||
::: ontocast.tool.triple_manager.neo4j
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.validate`
|
||||
|
||||
::: ontocast.tool.validate
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.tool.web_search`
|
||||
|
||||
::: ontocast.tool.web_search
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.toolbox`
|
||||
|
||||
::: ontocast.toolbox
|
||||
@@ -0,0 +1,3 @@
|
||||
# `ontocast.util`
|
||||
|
||||
::: ontocast.util
|
||||
@@ -0,0 +1,61 @@
|
||||
# Concepts
|
||||
|
||||
Here we introduce the main concepts of OntoCast, a framework for transforming data into semantic triples.
|
||||
|
||||
## Ontology Management
|
||||
|
||||
OntoCast manages ontologies with automatic versioning and timestamp tracking:
|
||||
|
||||
- **Semantic Versioning**: Automatic version increments (MAJOR/MINOR/PATCH) based on change analysis
|
||||
- **Hash-Based Lineage**: Git-style versioning with parent hashes for tracking ontology evolution
|
||||
- **Multiple Versions**: Versions stored as separate named graphs in Fuseki triple stores
|
||||
- **Timestamp Tracking**: `updated_at` field tracks when ontology was last modified
|
||||
- **Smart Analysis**: Analyzes ontology changes (classes, properties, instances) to determine appropriate version bump:
|
||||
- **MAJOR**: Substantial breaking changes (deletions of classes/properties)
|
||||
- **MINOR**: New features (new classes/properties) or any deletions
|
||||
- **PATCH**: Updates to existing structures (instances, descriptions, small changes)
|
||||
- **Property Syncing**: Version and timestamp are synced to the RDF graph as `owl:versionInfo` and `dcterms:modified`
|
||||
- **Versioned IRIs**: Each version gets a unique IRI with hash fragment for storage organization
|
||||
|
||||
## GraphUpdate System
|
||||
|
||||
OntoCast uses a token-efficient GraphUpdate system for incremental graph modifications:
|
||||
|
||||
- **Structured Operations**: LLM outputs `GraphUpdate` objects containing `TripleOp` operations (insert/delete) instead of full TTL graphs
|
||||
- **Token Efficiency**: Only changes are generated, dramatically reducing LLM token usage compared to full graph regeneration
|
||||
- **SPARQL Generation**: Operations are automatically converted to executable SPARQL queries
|
||||
- **Incremental Updates**: Graph updates are applied incrementally, allowing for precise modifications
|
||||
- **Operation Types**: Supports both `insert` and `delete` operations with explicit prefix declarations
|
||||
- **Custom Queries**: Also supports `GenericSparqlQuery` for complex custom SPARQL operations
|
||||
|
||||
### How GraphUpdate Saves Tokens
|
||||
|
||||
Instead of generating the entire graph in Turtle format (which can be thousands of tokens), the LLM now outputs only the changes:
|
||||
|
||||
- **Before**: Full TTL graph with all triples (e.g., 5000 tokens)
|
||||
- **After**: Structured operations with only changes (e.g., 200 tokens)
|
||||
- **Savings**: Typically 80-95% reduction in output tokens
|
||||
|
||||
## Budget Tracking
|
||||
|
||||
OntoCast provides comprehensive budget tracking for LLM usage and triple generation:
|
||||
|
||||
- **LLM Statistics**: Tracks API calls, characters sent/received for cost monitoring
|
||||
- **Triple Metrics**: Tracks ontology and facts triples generated per operation
|
||||
- **Operation Counts**: Tracks number of update operations for both ontology and facts
|
||||
- **Summary Reports**: Budget summaries logged at end of processing with format:
|
||||
```
|
||||
LLM: X calls, Y sent, Z received | Triples: A ontology, B facts
|
||||
```
|
||||
- **Integrated Tracking**: Budget tracker integrated into AgentState for clean dependency injection
|
||||
- **Automatic Updates**: Budget tracker automatically updated when LLM calls are made or triples are generated
|
||||
|
||||
## Key Components
|
||||
|
||||
- **Ontology**: RDF graph with properties (id, title, description, version, timestamp, hash, parent_hashes)
|
||||
- **AgentState**: Central state management with budget tracking and GraphUpdate operations
|
||||
- **ToolBox**: Collection of tools for processing and caching
|
||||
- **Triple Stores**: Support for filesystem, Fuseki, and Neo4j storage
|
||||
- **GraphUpdate**: Structured representation of graph modifications as SPARQL operations
|
||||
- **BudgetTracker**: Lightweight tracker for LLM usage and triple generation statistics
|
||||
|
||||
@@ -0,0 +1,149 @@
|
||||
# Configuration System
|
||||
|
||||
OntoCast configuration is powered by Pydantic `BaseSettings` and is loaded from environment variables (typically via `.env`).
|
||||
|
||||
## Overview
|
||||
|
||||
- Typed config sections with defaults
|
||||
- Environment variable parsing (including lists and booleans)
|
||||
- Validation for provider/model compatibility
|
||||
- Unified `Config` object shared across tools and server
|
||||
|
||||
## Configuration Shape
|
||||
|
||||
```python
|
||||
Config
|
||||
├── tool_config: ToolConfig
|
||||
│ ├── llm_config: LLMConfig
|
||||
│ ├── chunk_config: ChunkConfig
|
||||
│ ├── path_config: PathConfig
|
||||
│ ├── neo4j: Neo4jConfig
|
||||
│ ├── fuseki: FusekiConfig
|
||||
│ ├── domain: DomainConfig
|
||||
│ ├── web_search: WebSearchConfig
|
||||
│ └── aggregation: AggregationConfig
|
||||
└── server: ServerConfig
|
||||
```
|
||||
|
||||
## Environment Variables
|
||||
|
||||
### LLM
|
||||
|
||||
```bash
|
||||
LLM_PROVIDER=openai # openai | ollama
|
||||
LLM_MODEL_NAME=gpt-4o-mini
|
||||
LLM_TEMPERATURE=0.0
|
||||
LLM_API_KEY=your_openai_api_key_here # required for openai provider
|
||||
LLM_BASE_URL=http://localhost:11434 # optional (mainly for ollama)
|
||||
```
|
||||
|
||||
### Server
|
||||
|
||||
```bash
|
||||
PORT=8999
|
||||
BASE_RECURSION_LIMIT=1000
|
||||
ESTIMATED_CHUNKS=30
|
||||
MAX_VISITS=3 # alias for max_visits_per_node
|
||||
RENDER_MODE=ontology_and_facts # ontology | facts | ontology_and_facts
|
||||
ONTOLOGY_MAX_TRIPLES=50000 # empty/unset for unlimited
|
||||
PARALLEL_WORKERS=4
|
||||
PARALLEL_FACTS_RETRIES=3
|
||||
PARALLEL_ONTOLOGY_RETRIES=3
|
||||
ENABLE_ONTOLOGY_CONSOLIDATION=false
|
||||
```
|
||||
|
||||
### Chunking
|
||||
|
||||
```bash
|
||||
CHUNK_BREAKPOINT_THRESHOLD_TYPE=percentile # percentile | standard_deviation | interquartile | gradient
|
||||
CHUNK_BREAKPOINT_THRESHOLD_AMOUNT=95.0
|
||||
CHUNK_MIN_SIZE=3000
|
||||
CHUNK_MAX_SIZE=12000
|
||||
```
|
||||
|
||||
### Triple Stores
|
||||
|
||||
```bash
|
||||
# Fuseki
|
||||
FUSEKI_URI=http://localhost:3030/test
|
||||
FUSEKI_AUTH=admin/admin
|
||||
FUSEKI_DATASET=dataset_name
|
||||
FUSEKI_ONTOLOGIES_DATASET=ontologies
|
||||
|
||||
# Neo4j
|
||||
NEO4J_URI=bolt://localhost:7687
|
||||
NEO4J_AUTH=neo4j/test
|
||||
NEO4J_PORT=7476
|
||||
NEO4J_BOLT_PORT=7689
|
||||
```
|
||||
|
||||
### Paths and Domain
|
||||
|
||||
```bash
|
||||
CURRENT_DOMAIN=https://example.com
|
||||
ONTOCAST_WORKING_DIRECTORY=/path/to/working/directory
|
||||
ONTOCAST_ONTOLOGY_DIRECTORY=/path/to/ontology/files
|
||||
ONTOCAST_CACHE_DIR=/path/to/cache/directory
|
||||
```
|
||||
|
||||
### Aggregation
|
||||
|
||||
```bash
|
||||
AGG_EMBEDDING_MODEL=paraphrase-multilingual-MiniLM-L12-v2
|
||||
AGG_SIMILARITY_THRESHOLD=0.80
|
||||
```
|
||||
|
||||
### Web Search
|
||||
|
||||
```bash
|
||||
WEB_SEARCH_ENABLED=false
|
||||
WEB_SEARCH_PROVIDER=duckduckgo
|
||||
WEB_SEARCH_TOP_K=3
|
||||
WEB_SEARCH_TIMEOUT_SECONDS=8.0
|
||||
WEB_SEARCH_MAX_SNIPPET_CHARS=400
|
||||
WEB_SEARCH_MAX_TOTAL_CHARS=1800
|
||||
WEB_SEARCH_ONTOLOGY_RENDER_ENABLED=true
|
||||
WEB_SEARCH_ONTOLOGY_CRITIC_ENABLED=true
|
||||
WEB_SEARCH_FACTS_RENDER_ENABLED=false
|
||||
WEB_SEARCH_FACTS_CRITIC_ENABLED=false
|
||||
WEB_SEARCH_PLANNER_ENABLED=true
|
||||
WEB_SEARCH_PLANNER_MAX_QUERIES=3
|
||||
WEB_SEARCH_PLANNER_MIN_QUERY_CHARS=12
|
||||
WEB_SEARCH_PLANNER_MIN_CONFIDENCE=0.35
|
||||
WEB_SEARCH_REUSE_EVIDENCE_ACROSS_ATTEMPT=true
|
||||
WEB_SEARCH_MIN_SNIPPET_CHARS=40
|
||||
WEB_SEARCH_ALLOWED_DOMAINS= # comma-separated
|
||||
WEB_SEARCH_BLOCKED_DOMAINS= # comma-separated
|
||||
WEB_SEARCH_REGION=wt-wt
|
||||
WEB_SEARCH_SAFESEARCH=moderate
|
||||
```
|
||||
|
||||
Search is "search-later": nodes run without search first, and only request external evidence when needed.
|
||||
|
||||
## Usage
|
||||
|
||||
```python
|
||||
from ontocast.config import Config
|
||||
|
||||
config = Config()
|
||||
tool_config = config.get_tool_config()
|
||||
|
||||
print(config.server.port)
|
||||
print(config.server.max_visits_per_node)
|
||||
print(tool_config.llm_config.provider)
|
||||
print(tool_config.path_config.cache_dir)
|
||||
```
|
||||
|
||||
## Validation Notes
|
||||
|
||||
- `LLM_PROVIDER=openai` requires `LLM_API_KEY`.
|
||||
- `LLM_MODEL_NAME` must match the selected provider family.
|
||||
- `MAX_VISITS` is supported as an alias for `max_visits_per_node`.
|
||||
- `WEB_SEARCH_ALLOWED_DOMAINS` and `WEB_SEARCH_BLOCKED_DOMAINS` accept comma-separated values.
|
||||
|
||||
## Recommended Workflow
|
||||
|
||||
1. Copy `.env.example` to `.env`.
|
||||
2. Fill in LLM credentials and backend settings.
|
||||
3. Start with defaults for chunking/search/aggregation.
|
||||
4. Tune only after inspecting extraction quality and runtime.
|
||||
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Reference in New Issue
Block a user