Uses of Package
com.tnsai.rag
Packages that use com.tnsai.rag
Package
Description
Agent classes and lifecycle management for the TnsAI framework.
Agent chat orchestration for LLM invocation, history management, and tool call handling.
Agent execution components including LLM orchestration, tool processing, and memory management.
Agent initialization and specification extraction.
Agent orchestration — chat, streaming, tool execution, and knowledge base management.
Streaming and event-based chat operations with token-level granularity and event publishing.
Canonical RAG configuration and retrieval contracts.
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Classes in com.tnsai.rag used by com.tnsai.agentsClassDescriptionOwner-scoped binding between chat grounding and one canonical retrieval engine source.Typed, request-local identity and lifecycle context for chat retrieval.One declared knowledge source together with how a scope uses it.Explicit lifetime for source snapshots shared by retrieval and ordered knowledge consumption.Immutable runtime configuration for one RAG knowledge source.What one knowledge source gave a chat turn or an action call.Immutable runtime configuration for action-level retrieval.
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Classes in com.tnsai.rag used by com.tnsai.agents.chatClassDescriptionOwner-scoped binding between chat grounding and one canonical retrieval engine source.The DIRECT part of an agent's chat knowledge, given fresh on every chat turn.Typed, request-local identity and lifecycle context for chat retrieval.What one knowledge source gave a chat turn or an action call.
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Classes in com.tnsai.rag used by com.tnsai.agents.executionClassDescriptionTyped, request-local identity and lifecycle context for chat retrieval.One declared knowledge source together with how a scope uses it.Explicit lifetime for source snapshots shared by retrieval and ordered knowledge consumption.Immutable runtime configuration for one RAG knowledge source.What one knowledge source gave a chat turn or an action call.
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Classes in com.tnsai.rag used by com.tnsai.agents.initClassDescriptionOne declared knowledge source together with how a scope uses it.Immutable runtime configuration for one RAG knowledge source.Immutable runtime configuration for action-level retrieval.
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Classes in com.tnsai.rag used by com.tnsai.agents.orchestrationClassDescriptionOwner-scoped binding between chat grounding and one canonical retrieval engine source.The DIRECT part of an agent's chat knowledge, given fresh on every chat turn.Typed, request-local identity and lifecycle context for chat retrieval.One declared knowledge source together with how a scope uses it.Explicit lifetime for source snapshots shared by retrieval and ordered knowledge consumption.Immutable runtime configuration for one RAG knowledge source.What one knowledge source gave a chat turn or an action call.
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Classes in com.tnsai.rag used by com.tnsai.agents.streamingClassDescriptionTyped, request-local identity and lifecycle context for chat retrieval.Explicit lifetime for source snapshots shared by retrieval and ordered knowledge consumption.
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Classes in com.tnsai.rag used by com.tnsai.ragClassDescriptionOwner-scoped binding between chat grounding and one canonical retrieval engine source.The DIRECT part of an agent's chat knowledge, given fresh on every chat turn.One turn's blocks, split at the first SEARCH entry.Optional bridge from a canonical source configuration to the chat-level
KnowledgeBasecontract.Typed, request-local identity and lifecycle context for chat retrieval.Builder for optional, request-local chat context.Opt-in ingest-time transform that prepends chunk context before embedding and BM25 indexing.Extracts one detected document into TnsAI's normalized ingestion model.Deterministic registry of installedContentExtractorproviders.One structurally addressable block within an extracted document.Canonical content format for a file-backed knowledge source.Immutable byte input passed to aContentExtractorafter detection.Stable stages across the document-ingestion pipeline.Normalized, provenance-preserving output of aContentExtractor.Immutable declaration context supplied to document extractors.One declared knowledge source together with how a scope uses it.Explicit lifetime for source snapshots shared by retrieval and ordered knowledge consumption.One thread-bound hold on the scope's resources.The knowledge one scope sees: an action's named sources, or a chat turn's whole agent knowledge.Immutable runtime configuration for one RAG knowledge source.Builder retaining the annotation defaults.How one ingested file becomes retrieval documents.What one knowledge source gave a chat turn or an action call.One stable retrieval unit.Immutable runtime configuration for action-level retrieval.Builder starting from the framework defaults.Entry-point-neutral diagnostics emitted by a retrieval engine.Cache behavior visible to callers and observability integrations.Agent-scoped retrieval engine shared by chat and action entry points.Backend operation implemented by the intelligence runtime.SPI for creating agent-scopedRetrievalEngineinstances.Immutable evidence returned by aRetrievalEngine.Stable provenance required for audit, citation, and diagnostics.Stable failure categories shared by chat and action entry points.Entry-point-neutral request passed to aRetrievalEngine.Builder with safe defaults for unscoped, non-cancellable retrieval.Immutable outcome returned by aRetrievalEngine.Tenant and session identity carried by a retrieval request.Service Provider Interface for knowledge-context injection at action-dispatch time.The search settings one knowledge entry contributes to its scope: a partial, immutable value holding only theSearchmembers that were given.BuildsSearchSettings; a member not set is not given.Immutable runtime configuration for ordered knowledge-unit consumption.Builder twin for programmatic declarations.