𝗗𝗗𝗦𝗘 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝘀 𝗖𝗘𝗙 — 𝗮𝗻 𝗢𝗥𝗠 𝗳𝗼𝗿 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝗻 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
Today DDSE (Decision-Driven Software Engineering) Foundation releasing CEF (Context Engineering Framework) as an open-source project under the DDSE Foundation.
CEF is our attempt to give Java teams a first-class “𝗢𝗥𝗠 𝗳𝗼𝗿 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲” — a way to model nodes, edges, relations and chunks as domain entities, persist them into graph + vector stores, and retrieve context for LLMs through graph-aware, hybrid RAG instead of blind top-k similarity.
Just as Hibernate abstracts databases for transactions, CEF abstracts knowledge stores for Context Engineering. Build, test, and benchmark intelligent context models in minutes, without the complexity of enterprise graph infrastructure.
𝗪𝗶𝘁𝗵 𝗖𝗘𝗙 𝘆𝗼𝘂 𝗰𝗮𝗻:
Model your domain knowledge graph using simple Java types (Node, Edge, RelationType, Chunk).
Store and query through pluggable backends (DuckDB VSS, Postgres+pgvector, Neo4j and others).
Run GraphRAG-style retrieval that combines graph traversal, vector search and BM25 fallback for robust “never empty” context.
Keep everything Java + Spring Boot friendly for existing enterprise stacks.
This is a research-grade beta (0.5), not a finished platform. We’re publishing it now because we believe context engineering needs shared, inspectable infrastructure, not just proprietary pipelines and marketing decks.
🔗 Project page: https://ddse-foundation.github.io/cef/
🔗 GitHub repo: https://github.com/ddse-foundation/cef
If you’re working on GraphRAG, knowledge bases, or agentic systems in Java, I’d love your feedback, issues, and critiques — and, if it’s useful, your stars and forks.