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Ep58: Hybrid Search Headaches + GraphRAG as MCP Server
Manage episode 514199086 series 3579839
محتوای ارائه شده توسط jmhreif. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط jmhreif یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
In this episode of Breaktime Tech Talks, dive into the real-world challenges and discoveries from my recent work with Langchain4j, Quarkus, and Neo4j. If you’re a developer navigating the evolving landscape of AI, vector search, and graph databases, this episode is packed with practical insights and lessons learned.
Highlights:
- Struggles with configuring hybrid search (vector + graph retrieval) in Langchain4j and Quarkus
- Pain of setting up Neo4j vector stores, especially for read-only databases
- Data importer docs difference (standalone vs Aura)
- Why current frameworks make it hard to customize retrieval workflows
- Discovery of Neo4j’s MCP Cypher server for vector search as a tool
- Blog post on implementing GraphRAG retrievers as an MCP server for reusable, agentic applications
- Updates on the GraphRAG Fundamentals online course and the upcoming NODES 2025 conference
- My new new Java book project
Tune in for practical advice, honest roadblocks, and new ideas for building smarter, more flexible developer tools!
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