[{"data":1,"prerenderedAt":58},["ShallowReactive",2],{"maker-mtricot":3},[4,34],{"id":5,"name":6,"line":7,"ai":8,"cat":9,"year":10,"points":11,"comments":12,"rec":13,"s":14,"top":15,"kw":16,"maker":22,"domain":23,"tier":24,"attempts":14,"strip":25,"url":26,"mix":27,"praise":31,"objection":32,"sub":33},37050532,"Airbyte","Chat with your data using LangChain, Pinecone, and Airbyte",false,"ai",2023,220,59,"curious",0,9,[17,18,19,20,21],"langchain","pinecone","vector database","airbyte","llm chatbot","mtricot","airbyte.com","notable","3030350000011303000331530333030033000530","https:\u002F\u002Fairbyte.com\u002Ftutorials\u002Fchat-with-your-data-using-openai-pinecone-airbyte-and-langchain",[28,29,30,28],3,16,1,"Well written, practical tutorial with substance","Sending data to Pinecone and OpenAI raises privacy and PII concerns","retrieval chatbot tutorial",{"id":35,"name":36,"line":37,"ai":8,"cat":9,"year":38,"points":39,"comments":40,"rec":13,"s":41,"top":42,"kw":43,"maker":22,"domain":49,"tier":24,"attempts":14,"strip":50,"url":-1,"mix":51,"praise":55,"objection":56,"sub":57},48023496,"Airbyte Agents","context for agents across multiple data sources",2026,156,48,0.13,10,[44,45,46,47,48],"ai agents","mcp","data connectors","context store","agentic search","","5303010353330533353033333503103553113333",[52,53,14,54],8,27,4,"Congratulations and interest in the launch; Airbyte's connector expertise seen as a good fit","Benchmarks are self-run by the builder, so bias is a concern","agent data layer",1794036794584]