trustgraph/trustgraph-base/trustgraph/schema/services/retrieval.py

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from dataclasses import dataclass
from ..core.topic import topic
from ..core.primitives import Error, Term
############################################################################
# Graph RAG text retrieval
@dataclass
class GraphRagQuery:
query: str = ""
user: str = ""
collection: str = ""
entity_limit: int = 0
triple_limit: int = 0
max_subgraph_size: int = 0
max_path_length: int = 0
streaming: bool = False
@dataclass
class GraphRagResponse:
error: Error | None = None
response: str = ""
GraphRAG Query-Time Explainability (#677) Implements full explainability pipeline for GraphRAG queries, enabling traceability from answers back to source documents. Renamed throughout for clarity: - provenance_callback → explain_callback - provenance_id → explain_id - provenance_collection → explain_collection - message_type "provenance" → "explain" - Queue name "provenance" → "explainability" GraphRAG queries now emit explainability events as they execute: 1. Session - query text and timestamp 2. Retrieval - edges retrieved from subgraph 3. Selection - selected edges with LLM reasoning (JSONL with id + reasoning) 4. Answer - reference to synthesized response Events stream via explain_callback during query(), enabling real-time UX. - Answers stored in librarian service (not inline in graph - too large) - Document ID as URN: urn:trustgraph:answer:{session_id} - Graph stores tg:document reference (IRI) to librarian document - Added librarian producer/consumer to graph-rag service - get_labelgraph() now returns (labeled_edges, uri_map) - uri_map maps edge_id(label_s, label_p, label_o) → (uri_s, uri_p, uri_o) - Explainability data stores original URIs, not labels - Enables tracing edges back to reifying statements via tg:reifies - Added serialize_triple() to query service (matches storage format) - get_term_value() now handles TRIPLE type terms - Enables querying by quoted triple in object position: ?stmt tg:reifies <<s p o>> - Displays real-time explainability events during query - Resolves rdfs:label for edge components (s, p, o) - Traces source chain via prov:wasDerivedFrom to root document - Output: "Source: Chunk 1 → Page 2 → Document Title" - Label caching to avoid repeated queries GraphRagResponse: - explain_id: str | None - explain_collection: str | None - message_type: str ("chunk" or "explain") - end_of_session: bool trustgraph-base/trustgraph/provenance/: - namespaces.py - Added TG_DOCUMENT predicate - triples.py - answer_triples() supports document_id reference - uris.py - Added edge_selection_uri() trustgraph-base/trustgraph/schema/services/retrieval.py: - GraphRagResponse with explain_id, explain_collection, end_of_session trustgraph-flow/trustgraph/retrieval/graph_rag/: - graph_rag.py - URI preservation, streaming answer accumulation - rag.py - Librarian integration, real-time explain emission trustgraph-flow/trustgraph/query/triples/cassandra/service.py: - Quoted triple serialization for query matching trustgraph-cli/trustgraph/cli/invoke_graph_rag.py: - Full explainability display with label resolution and source tracing
2026-03-10 10:00:01 +00:00
end_of_stream: bool = False # LLM response stream complete
Terminology Rename, and named-graphs for explainability (#682) Terminology Rename, and named-graphs for explainability data Changed terminology: - session -> question - retrieval -> exploration - selection -> focus - answer -> synthesis - uris.py: Renamed query_session_uri → question_uri, retrieval_uri → exploration_uri, selection_uri → focus_uri, answer_uri → synthesis_uri - triples.py: Renamed corresponding triple generation functions with updated labels ("GraphRAG question", "Exploration", "Focus", "Synthesis") - namespaces.py: Added named graph constants GRAPH_DEFAULT, GRAPH_SOURCE, GRAPH_RETRIEVAL - init.py: Updated exports - graph_rag.py: Updated to use new terminology - invoke_graph_rag.py: Updated CLI to display new stage names (Question, Exploration, Focus, Synthesis) Query-Time Explainability → Named Graph - triples.py: Added set_graph() helper function to set named graph on triples - graph_rag.py: All explainability triples now use GRAPH_RETRIEVAL named graph - rag.py: Explainability triples stored in user's collection (not separate collection) with named graph Extraction Provenance → Named Graph - relationships/extract.py: Provenance triples use GRAPH_SOURCE named graph - definitions/extract.py: Provenance triples use GRAPH_SOURCE named graph - chunker.py: Provenance triples use GRAPH_SOURCE named graph - pdf_decoder.py: Provenance triples use GRAPH_SOURCE named graph CLI Updates - show_graph.py: Added -g/--graph option to filter by named graph and --show-graph to display graph column Also: - Fix knowledge core schemas
2026-03-10 14:35:21 +00:00
explain_id: str | None = None # Single explain URI (announced as created)
explain_graph: str | None = None # Named graph where explain was stored (e.g., urn:graph:retrieval)
GraphRAG Query-Time Explainability (#677) Implements full explainability pipeline for GraphRAG queries, enabling traceability from answers back to source documents. Renamed throughout for clarity: - provenance_callback → explain_callback - provenance_id → explain_id - provenance_collection → explain_collection - message_type "provenance" → "explain" - Queue name "provenance" → "explainability" GraphRAG queries now emit explainability events as they execute: 1. Session - query text and timestamp 2. Retrieval - edges retrieved from subgraph 3. Selection - selected edges with LLM reasoning (JSONL with id + reasoning) 4. Answer - reference to synthesized response Events stream via explain_callback during query(), enabling real-time UX. - Answers stored in librarian service (not inline in graph - too large) - Document ID as URN: urn:trustgraph:answer:{session_id} - Graph stores tg:document reference (IRI) to librarian document - Added librarian producer/consumer to graph-rag service - get_labelgraph() now returns (labeled_edges, uri_map) - uri_map maps edge_id(label_s, label_p, label_o) → (uri_s, uri_p, uri_o) - Explainability data stores original URIs, not labels - Enables tracing edges back to reifying statements via tg:reifies - Added serialize_triple() to query service (matches storage format) - get_term_value() now handles TRIPLE type terms - Enables querying by quoted triple in object position: ?stmt tg:reifies <<s p o>> - Displays real-time explainability events during query - Resolves rdfs:label for edge components (s, p, o) - Traces source chain via prov:wasDerivedFrom to root document - Output: "Source: Chunk 1 → Page 2 → Document Title" - Label caching to avoid repeated queries GraphRagResponse: - explain_id: str | None - explain_collection: str | None - message_type: str ("chunk" or "explain") - end_of_session: bool trustgraph-base/trustgraph/provenance/: - namespaces.py - Added TG_DOCUMENT predicate - triples.py - answer_triples() supports document_id reference - uris.py - Added edge_selection_uri() trustgraph-base/trustgraph/schema/services/retrieval.py: - GraphRagResponse with explain_id, explain_collection, end_of_session trustgraph-flow/trustgraph/retrieval/graph_rag/: - graph_rag.py - URI preservation, streaming answer accumulation - rag.py - Librarian integration, real-time explain emission trustgraph-flow/trustgraph/query/triples/cassandra/service.py: - Quoted triple serialization for query matching trustgraph-cli/trustgraph/cli/invoke_graph_rag.py: - Full explainability display with label resolution and source tracing
2026-03-10 10:00:01 +00:00
message_type: str = "" # "chunk" or "explain"
end_of_session: bool = False # Entire session complete
############################################################################
# Document RAG text retrieval
@dataclass
class DocumentRagQuery:
query: str = ""
user: str = ""
collection: str = ""
doc_limit: int = 0
streaming: bool = False
@dataclass
class DocumentRagResponse:
error: Error | None = None
response: str = ""
end_of_stream: bool = False