3 projects for "separation" with 2 filters applied:

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    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • 1
    SableCC is a parser generator which generates object-oriented frameworks for building compilers, interpreters and other text parsers. SableCC keeps a clean separation between machine and user code which leads to a shorter development cycle.
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    Downloads: 15 This Week
    Last Update:
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  • 2
    Coco/S Parser Generator

    Coco/S Parser Generator

    Parser Generator based on Coco/R

    ...Coco/S is a branch of the 2010/11 release of Coco/R for Java. While Coco/R takes an attributed grammar file, Coco/S has a callback API. This has the advantage of a clean separation between grammar (EBNF) and Compiler/Interpreter.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Wisent is an LALR(1) parser generator with pluggable front- and backends. It generates object-oriented code with clean namespace separation. A yacc-like frontend is currently accompanied by a C++ and a Java backend. The tool itself is implemented in C++.
    Downloads: 0 This Week
    Last Update:
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