{ "query": "how much % is it?", "namespace": "cf999393-d232-429c-81ab-248765768b77", "messages": [ { "role": "assistant", "content": "Hallo Herr Ana Test,\n\nich bin Simon, Ihr KI-Chatbot, der mit dem Large Language Model gemini-1.5-flash ausgestattet ist, um all Ihre Fragen zu beantworten. \n\nIch habe Zugriff auf die Wissensdatenbank \"10.03.24 Top Movies (text docs)\", die Informationen zu den erfolgreichsten Filmen von 2022 und 2023 enth\u00e4lt. \n\nM\u00f6chten Sie mehr \u00fcber folgende Themen erfahren? \n\n* \ud83c\udfac Die Top 26 Filme von 2023 nach weltweitem Einspielergebnis \n* \ud83c\udfc6 Die Top 20 Filme von 2022 nach IMDb-Bewertung \n* \ud83d\udcca Vergleich der Einspielergebnisse von Filmen in den USA und international \n* \ud83d\udcc8 Analyse der Einspielergebnisse von Filmen nach Genre \n* \ud83d\udd0d Suche nach einem bestimmten Film in der Datenbank \n\nWas m\u00f6chten Sie sich heute ansehen? \n\n\nhow much % is it?\n\n FOR ADDITIONAL CONTEXT:\n\nKnowledgebase name: 10.03.24 Top Movies (text docs)\nKnowledgebase files:\n2023 - Box office hits.docx\nIndusface PDF but as photo.pdf\nIndusface PDF but as photo(1).pdf\nIndusface PDF but as photo(2).pdf\n2022 - IMDB top movies (text).docx\nKnowledgebases crawlers:\nname: pinecone - url: https://docs.pinecone.io/reference/create_index" }, { "role": "user", "content": "What is the top movie?" }, { "role": "assistant", "content": "Based on the provided information, the top movie in 2023 is **\"Barbie\"** with a worldwide gross of $1,446,938,421. \n\nIt's important to note that this information is based on box office revenue, not necessarily critical acclaim or audience ratings." }, { "role": "assistant", "content": "The top movie of 2023, based on box office revenue, is **\"Barbie,\"** which has grossed approximately $1,446,938,421 worldwide. If you need further details about the film or its performance, please let me know!" }, { "role": "user", "content": "how much % is it?" }, { "role": "assistant", "content": "" } ], "stream": true, "language_level": "", "chat_channel": ":4691:1728540322990", "language": "German", "tone": "neutral", "writing_style": "standard", "model": "gemini-1.5-flash", "knowledgebase": "ki-dev-large", "seed": 1054, "client_id": 1728540322990, "all_context": false, "follow_up_for": null, "knowledgebase_files_count": 6, "override_command": null, "disable_clarity_check": false, "custom_primer": "", "logging": true, "query_route": "" } INITIALIZATION Knowledgebase: ki-dev-large Base Query: how much % is it? Model: gemini-1.5-flash **Elapsed Time: 0.00 seconds** ROUTING Query type: research **Elapsed Time: 1.59 seconds** RAG PARAMETERS Max Context To Include: 20 Lowest Score to Consider: 0.1 ================================================== **Elapsed Time: 0.14 seconds** ================================================== VECTOR SEARCH ALGORITHM TO USE Use MMR search?: False Use Similarity search?: True ================================================== **Elapsed Time: 0.10 seconds** ================================================== VECTOR SEARCH DONE ================================================== **Elapsed Time: 0.65 seconds** ================================================== PRIMER Primer: You are Simon, a highly intelligent personal assistant in a system called KIOS. You are a chatbot that can read knowledgebases through the "CONTEXT" that is included in the user's chat message. In the "CONTEXT", prioritize information from data tagged "FEEDBACK:". Your role is to act as an expert at reading the information provided by the user and giving the most relevant information. In your responses to enterprise users, prioritize clarity, trustworthiness, and appropriate formality. Be honest by admitting when a topic falls outside your scope of knowledge, and suggest alternative avenues for obtaining information when necessary. Make effective use of chat history to avoid redundancy and enhance response relevance, continuously adapting to integrate all necessary details in your interactions. Focus on precision and accuracy of your answers information. **Elapsed Time: 0.17 seconds** FINAL QUERY Final Query: CONTEXT: ########## File: 2023%20-%20Box%20office%20hits.docx Page: 2 Context: 19 | Five Nights at Freddy's | $291,493,620 | $137,275,620 | 47.1% | $154,218,000 | 52.9% | #################### File: 2023%20-%20Box%20office%20hits.docx Page: 3 Context: 26 | Napoleon | $221,394,838 | $61,524,375 | 27.8% | $159,870,463 | 72.2% | This document was truncated here because it was created in the Evaluation Mode. #################### File: 2023%20-%20Box%20office%20hits.docx Page: 1 Context: 4 | Guardians of the Galaxy Vol. 3 | $845,555,777 | $358,995,815 | 42.5% | $486,559,962 | 57.5% | 5 | Fast X | $704,875,015 | $146,126,015 | 20.7% | $558,749,000 | 79.3% | 6 | Spider-Man: Across the Spider-Verse | $690,542,303 | $381,311,319 | 55.2% | $309,230,984 | 44.8% | 7 | Wonka | $634,402,312 | $218,402,312 | 34.4% | $416,000,000 | 65.6% | #################### File: 2023%20-%20Box%20office%20hits.docx Page: 2 Context: Evaluation Only. Created with Aspose.Words. Copyright 2003-2024 Aspose Pty Ltd.| 8 | Mission: Impossible - Dead Reckoning Part One | $570,619,838 | $172,135,383 | 30.2% | $398,484,455 | 69.8% | | -------- | -------- | -------- | -------- | -------- | -------- | -------- | 9 | The Little Mermaid | $569,626,289 | $298,172,056 | 52.3% | $271,454,233 | 47.7% | 10 | Elemental | $496,444,308 | $154,426,697 | 31.1% | $342,017,611 | 68.9% | 11 | Ant-Man and the Wasp: Quantumania | $476,071,180 | $214,504,909 | 45.1% | $261,566,271 | 54.9% | 12 | Transformers: Rise of the Beasts | $441,381,193 | $157,066,392 | 35.6% | $284,314,801 | 64.4% | #################### File: 2023%20-%20Box%20office%20hits.docx Page: 3 Context: Evaluation Only. Created with Aspose.Words. Copyright 2003-2024 Aspose Pty Ltd.| 20 | Creed III | $276,148,615 | $156,248,615 | 56.6% | $119,900,000 | 43.4% | | -------- | -------- | -------- | -------- | -------- | -------- | -------- | 21 | The Flash | $271,433,313 | $108,133,313 | 39.8% | $163,300,000 | 60.2% | 22 | The Nun II | $269,667,073 | $86,267,073 | 32% | $183,400,000 | 68% | 23 | Taylor Swift: The Eras Tour | $261,656,269 | $180,756,269 | 69.1% | $80,900,000 | 30.9% | 24 | Wish | $254,997,360 | $63,973,821 | 25.1% | $191,023,539 | 74.9% | 25 | Sound of Freedom | $250,570,396 | $184,178,046 | 73.5% | $66,392,350 | 26.5% | #################### File: 2023%20-%20Box%20office%20hits.docx Page: 2 Context: 13 | John Wick: Chapter 4 | $440,180,275 | $187,131,806 | 42.5% | $253,048,469 | 57.5% | 14 | Aquaman and the Lost Kingdom | $439,381,226 | $124,481,226 | 28.3% | $314,900,000 | 71.7% | 15 | Meg 2: The Trench | $397,800,317 | $82,600,317 | 20.8% | $315,200,000 | 79.2% | 16 | Indiana Jones and the Dial of Destiny | $383,963,057 | $174,480,468 | 45.4% | $209,482,589 | 54.6% | 17 | The Hunger Games: The Ballad of Songbirds & Snakes | $348,900,019 | $166,350,594 | 47.7% | $182,549,425 | 52.3% | 18 | Migration | $299,851,154 | $127,306,285 | 42.5% | $172,544,869 | 57.5% | #################### File: 2023%20-%20Box%20office%20hits.docx Page: 1 Context: Top of Form #################### File: 10.03.24 Top Movies (text docs).txt Page: 1 Context: 10.03.24 Top Movies (text docs) #################### File: 2023%20-%20Box%20office%20hits.docx Page: 1 Context: ----media/image1.wmf---- Bottom of Form DomesticInternationalWorldwideCalendarAll TimeShowdownsIndices 2023 Worldwide Box Office Top of Form ----media/image2.wmf----2023 #################### File: docs-pinecone-io-reference-create_index-58440.txt Page: 1 Context: [Pinecone Docs home page](/) 2024-07 (latest) Search or ask... * [Sign up free](https://app.pinecone.io/?sessionType=signup) * [Status](https://status.pinecone.io) * [Support](https://support.pinecone.io) * [Log In](https://app.pinecone.io/?sessionType=login) * [Sign up free](https://app.pinecone.io/?sessionType=signup) Search Navigation [Home](/home)[Guides](/guides/get-started/quickstart)[Reference](/reference/api/introduction)[Examples](/examples/notebooks)[Models _New_](/models/overview)[Integrations](/integrations/overview)[Troubleshooting](/troubleshooting/contact-support)[Releases](/release-notes/2024) Pinecone Documentation What can we help you build? Start a chat with us… Choose a topic below or simply [get started](/guides/get-started/quickstart) [GuidesPractical guides and best practices to get you up and running quickly.](/guides)[ReferenceComprehensive details about the Pinecone APIs, SDKs, utilities, and architecture.](/reference)[ExamplesHands-on notebooks and sample apps with common AI patterns and tools.](/examples)[ModelsDetails and guidance on popular embedding and reranking models.](/models)[IntegrationsPinecone’s growing number of third-party integrations.](/integrations)[TroubleshootingResolve common Pinecone issues with our troubleshooting guide.](/troubleshooting/contact-support)[ReleasesNews about features and changes in Pinecone and related tools.](/release-notes) #################### File: 2022%20-%20IMDB%20top%20movies%20%28text%29.docx Page: 1 Context: 19. Nope 20222h 10mR 6.8 (283K)Rate 77Metascore The residents of a lonely gulch in inland California bear witness to an uncanny and chilling discovery. DirectorJordan PeeleStarsDaniel KaluuyaKeke PalmerBrandon Perea -- ----Image alt text---->Austin Butler in Elvis (2022)<----media/image20.jpeg---- 20. Elvis 20222h 39mPG-13 7.3 (242K)Rate 64Metascore The life of American music icon Elvis Presley, from his childhood to becoming a rock and movie star in the 1950s while maintaining a complex relationship with his manager, Colonel Tom Parker. DirectorBaz LuhrmannStarsTom HanksAustin ButlerOlivia DeJonge ########## """QUERY: how much % is it?""" Consider the chat history for relevant information. Use all information included. If query is already asked in the history double check the correctness of your answer and maybe correct your previous mistake. If you find information separated by a | in the context, it is a table formatted in Markdown - the whole context is formatted as md structure. Important: Take a look at the QUERY and only the QUERY. Please try always to answer the query question. If the client ask for a formatting structure follow his advise.But if the question is vague or unclear ask a follow-up question based on the context. If too many questions were asked already based on the history, just answer the question Final Files Sources: 2023%20-%20Box%20office%20hits.docx - Page 2, 2023%20-%20Box%20office%20hits.docx - Page 3, 2023%20-%20Box%20office%20hits.docx - Page 1, 10.03.24 Top Movies (text docs).txt - Page 1, docs-pinecone-io-reference-create_index-58440.txt - Page 1, 2022%20-%20IMDB%20top%20movies%20%28text%29.docx - Page 1 ================================================== **Elapsed Time: 0.00 seconds** ================================================== FINAL ANSWER Answer: [Answer was streamed to client] ================================================== **Elapsed Time: 0.95 seconds** ==================================================