{"repo":"FareedKhan-dev/temporal-ai-agent-pipeline","free":true,"listed":false,"github":"https://github.com/FareedKhan-dev/temporal-ai-agent-pipeline","clone":"git clone https://github.com/FareedKhan-dev/temporal-ai-agent-pipeline.git","description":"Optimizing Dynamic Knowledge Base Using AI Agent","language":"Jupyter Notebook","stars":93,"topics":["ai-agents","database","langchain","langgraph","openai","rag"],"license":"MIT","category":"ai-agents","readme_excerpt":"Temporal AI Agent for Knowledge Base Modern RAG or Agentic architectures to answer questions depend on a dynamic knowledge base that keeps updating over time, such as financial reports or documentation, so that the reasoning and planning process remains logical and accurate. To handle such a knowledge base, where the size continuously grows and the chances of hallucinations can increase, a separate logical-temporal (time-aware) agentic pipeline is required to manage this evolving knowledge base within your AI product. This pipeline includes … 1. Semantic Chunking: Breaks down large, raw documents into small, contextually meaningful text chunks. 2. Atomic Facts: Uses an LLM to read each chunk and extract atomic facts, their timestamps, and the entities involved. 3. Entity Resolution: Cleans the data by automatically finding and merging duplicate entities (e.g., “AMD” and “Advanced Micro Devices”). 4. Temporal Invalidation: Intelligently identifies and resolves contradictions by marking outdated facts as “expired” when new information arrives. 5. Knowledge Graph Construction: Assembles the final, clean, time-stamped facts into a connected graph structure that our AI agent can query. 6. Optimized Knowledge Base: Stores the final, dynamic knowledge graph in a scalable cloud database, creating the reliable, up-to-date “brain” on top of which the final RAG or agentic system is built. In this blog we are going to create … An end-to-end temporal agentic pipeline that transforms raw d","default_branch":null,"files":null,"tree":[],"storefront":"/r/FareedKhan-dev","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/FareedKhan-dev/temporal-ai-agent-pipeline/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}