GitHub user imbajin added a comment to the discussion: [Discussion] The selection of Agentic/Taskflow frame
> [@imbajin](https://github.com/imbajin?rgh-link-date=2025-02-28T22%3A01%3A46.000Z) > sir instead of developing a dedicated HG-agentic library, I propose that we > make a retriever service similar to what Pinecone provides. Our approach > would encompass two distinct modes: a beginner-friendly “agentic retriever” > that comes pre-fine-tuned with a robust LLM using few-shot or one-shot > prompting (can also integrating advanced prompting techniques and dynamic > re-ranking for accurate graph query generation) a fully customizable > retriever mode aimed at developers. In the customizable mode, users can > modify key code placeholders—such as LLM selection, prompt configuration, and > integration of additional tools to replace or enhance their existing RAG > systems, including those orchestrated by frameworks like AutoGen. Moreover, > we can architect this retriever module using a modular “runnables” concept, > like we have in LangChain’s design, which ensures framework agnosticism and > ease of inte gration into various vector database ecosystems (e.g., Pinecone, FAISS, Qdrant). By also providing an HTTP API layer for direct access to our core query functions, this solution will not only offer high performance and simplicity but also enables integration with existing agent systems, making it an ideal bridge between novice users and expert developers. I think this solution will be covering both the points and help the people from both the levels Also enabling beginners as they will be able to use our service without much hassle. the end note is I am inclined to making the agent from scratch rather than taking it as it is from an existing framework and as almost all of the frameworks are opensource we can take the core functionality from them and add those to our own structure. @chiruu12 I think it can be done this way. We can eventually implement our own management of agent combinations, but we still need a good workflow library (if we feel that the performance is not good enough, we can consider using Rust to rewrite the underlying layer - similar to [Pydanic-core](https://github.com/pydantic/pydantic-core)). We just need to ensure consistency in the user interface layer GitHub link: https://github.com/apache/incubator-hugegraph-ai/discussions/203#discussioncomment-12666616 ---- This is an automatically sent email for dev@hugegraph.apache.org. To unsubscribe, please send an email to: dev-unsubscr...@hugegraph.apache.org
