检索增强生成(RAG)知识库
一个复杂的知识管理系统,结合文档存储和AI驱动的检索与生成能力
ai完成日期: 2024-01
项目详情
Picture this: thousands of documents, PDFs, wikis, all with critical information buried somewhere. Our client's employees were spending hours searching for answers that existed... somewhere. We built them a RAG system that's like having a genius intern who's read every single document and remembers everything perfectly. Ask it "What's our policy on remote work expenses?" and it doesn't just find the document - it gives you the exact answer with sources. The legal team loves it because it always cites its sources.
客户
Top 10 Law Firm (Name under NDA)
使用的技术
Next.jsFastAPIOpenAI EmbeddingsPineconeLangChainPostgreSQL
主要功能
- 具有自动分块和嵌入的文档处理管道
- 由向量数据库技术支持的语义搜索
- 带源引用的AI辅助响应生成
- 收集用户反馈以持续改进
- 与现有文档管理系统集成
- 基于角色的敏感信息访问控制