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TrustGraph 2.8: Async Infrastructure, Hybrid Retrieval, Structured Output, and a Plugin-Based Workbench

Daniel Davis 2026年09月08日 23:39 0 次阅读 来源:Dev.to

TrustGraph 2.8 is available now, with a major upgrade to the platform foundation for enterprise knowledge and AI systems. This release focuses on a practical problem: AI applications must remain reliable when they grow beyond a single demo, a single document library, or a small number of workspaces. That means scalable messaging, dependable retrieval, typed model outputs, observable services, auditable decisions, and an interface that can adapt to different domains. Async pub/sub: removing a scaling bottleneck TrustGraph has completed its migration from thread-per-consumer pub/sub to an asynchronous architecture. In the previous model, a deployment with many workspaces and flows could consume hundreds of threads. TrustGraph 2.8 replaces that design with configurable async receive and send pools. Async support now covers: Apache Pulsar through pulsar.asyncio.Client RabbitMQ through aio-pika Kafka through aiokafka The API gateway and reverse gateway For operators, this means a much stronger basis for multi-workspace deployments. For custom processor developers, it also means migrating extensions to the async model. Hybrid retrieval for Document RAG Document RAG now combines two complementary retrieval strategies: Vector similarity for conceptual relevance. BM25 keyword retrieval for exact terms, names, identifiers, and domain-specific phrases. TrustGraph merges the results with Reciprocal Rank Fusion (RRF). The first keyword-index implementation uses SQLite FTS5 and scopes indexes by workspace and collection. If keyword retrieval is unavailable, TrustGraph degrades gracefully rather than blocking retrieval entirely. Hybrid retrieval is especially useful for enterprise content, where a user might search semantically in one query and need an exact product code, legal term, technical error, or named entity in the next. Native structured LLM output TrustGraph 2.8 carries JSON schemas from prompt definitions through the completion layer into provider-native structured-outp

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