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Base Service (trustgraph-base/trustgraph/base/embeddings_service.py): - Changed on_request to use request.texts FastEmbed Processor (trustgraph-flow/trustgraph/embeddings/fastembed/processor.py): - on_embeddings(texts, model=None) now processes full batch efficiently - Returns [[v.tolist()] for v in vecs] - list of vector sets Ollama Processor (trustgraph-flow/trustgraph/embeddings/ollama/processor.py): - on_embeddings(texts, model=None) passes list directly to Ollama - Returns [[embedding] for embedding in embeds.embeddings] EmbeddingsClient (trustgraph-base/trustgraph/base/embeddings_client.py): - embed(texts, timeout=300) accepts list of texts Tests Updated: - test_fastembed_dynamic_model.py - 4 tests updated for new interface - test_ollama_dynamic_model.py - 4 tests updated for new interface Updated CLI, SDK and APIs |
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TrustGraph Documentation
Welcome to TrustGraph! For comprehensive documentation, please visit:
📖 https://docs.trustgraph.ai
The main documentation site includes:
- Overview - Introduction to TrustGraph concepts and architecture
- Guides - Step-by-step tutorials and how-to guides
- Deployment - Deployment options and configuration
- Reference - API specifications and CLI documentation
Getting Started
New to TrustGraph? Start with the Overview to understand the system.
Ready to deploy? Check out the Deployment Guide.
Integrating with code? See the API Reference for REST, WebSocket, and SDK documentation.