mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-07-01 09:29:38 +02:00
1346cbebb4
Replace the three-prompt LLM scoring pipeline (kg-edge-scoring, kg-edge-reasoning, kg-edge-selection) with a cross-encoder reranker service backed by FlashRank. The new hop_and_filter() method performs iterative graph traversal with semantic scoring at each hop, replacing the previous follow_edges/get_subgraph approach. - Add reranker service (trustgraph-base client/service, FlashRank processor) - Add gateway dispatch for reranker via API and WebSocket - Rewrite GraphRAG pipeline: hop_and_filter() with per-hop cross-encoder scoring - Remove kg_prompt() and edge_score_limit from prompt client - Update provenance: add tg:EdgeSelection type, tg:concept, tg:score predicates - Update CLIs (tg-invoke-graph-rag, tg-show-explain-trace) for new metadata - Add tg-invoke-reranker CLI tool - Add tech spec and UX developer guidance - Update all unit and integration tests
49 lines
2.4 KiB
Python
49 lines
2.4 KiB
Python
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from . pubsub import get_pubsub, add_pubsub_args
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from . async_processor import AsyncProcessor
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from . consumer import Consumer
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from . producer import Producer
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from . publisher import Publisher
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from . subscriber import Subscriber
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from . metrics import ProcessorMetrics, ConsumerMetrics, ProducerMetrics, SubscriberMetrics
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from . logging import add_logging_args, setup_logging
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from . workspace_processor import WorkspaceProcessor
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from . flow_processor import FlowProcessor
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from . consumer_spec import ConsumerSpec
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from . parameter_spec import ParameterSpec
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from . producer_spec import ProducerSpec
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from . subscriber_spec import SubscriberSpec
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from . request_response_spec import RequestResponseSpec
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from . llm_service import LlmService, LlmResult, LlmChunk
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from . librarian_client import LibrarianClient
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from . librarian_spec import LibrarianSpec
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from . chunking_service import ChunkingService
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from . embeddings_service import EmbeddingsService
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from . embeddings_client import EmbeddingsClientSpec
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from . text_completion_client import (
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TextCompletionClientSpec, TextCompletionClient, TextCompletionResult,
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)
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from . prompt_client import PromptClientSpec, PromptClient, PromptResult
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from . config_client import ConfigClientSpec, ConfigClient
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from . triples_store_service import TriplesStoreService
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from . graph_embeddings_store_service import GraphEmbeddingsStoreService
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from . document_embeddings_store_service import DocumentEmbeddingsStoreService
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from . triples_query_service import TriplesQueryService
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from . graph_embeddings_query_service import GraphEmbeddingsQueryService
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from . document_embeddings_query_service import DocumentEmbeddingsQueryService
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from . graph_embeddings_client import GraphEmbeddingsClientSpec
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from . triples_client import TriplesClientSpec
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from . document_embeddings_client import DocumentEmbeddingsClientSpec
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from . agent_service import AgentService
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from . graph_rag_client import GraphRagClientSpec
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from . tool_service import ToolService
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from . tool_client import ToolClientSpec
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from . dynamic_tool_service import DynamicToolService
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from . tool_service_client import ToolServiceClientSpec
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from . agent_client import AgentClientSpec
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from . structured_query_client import StructuredQueryClientSpec
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from . reranker_client import RerankerClientSpec
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from . reranker_service import RerankerService
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from . row_embeddings_query_client import RowEmbeddingsQueryClientSpec
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from . collection_config_handler import CollectionConfigHandler
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