基于论文Rethinking Tabular Data Understanding with Large Language Models),LlamaIndex开发了MixSelfConsistencyQueryEngine,该引擎通过自一致性机制(即多数投票)聚合了来自文本和符号推理的结果,并取得了最先进的性能。以下是一个示例代码。 download_llama_pack( "MixSelfConsistencyPack", "./mix_self_consistency_pack...
Q&A-and-RAG-with-SQL-and-TabularData is a chatbot project that utilizes GPT 3.5, Langchain, SQLite, and ChromaDB and allows users to interact (perform Q&A and RAG) with SQL databases, CSV, and XLSX files using natural language.Key NOTE: Remember to NOT use a SQL databbases with WRITE...
基于Liu 等人的论文Rethinking Tabular Data Understanding with Large Language Models,LlamaIndex 开发了MixSelfConsistencyQueryEngine,它通过自我一致性机制(即多数投票)聚合文本和符号推理的结果,并实现 SoTA 性能。请参阅下面的示例代码片段。查看 LlamaIndex 的完整笔记本了解更多详细信息。 download_llama_pack( "MixS...
Given a large table regarding "amazon seller order status prediction orders data", I want to answer a question: "What is the average price for leather wallets?" Since I cannot view the table directly, please suggest some column names that might contain the necessary data to answer this questi...
The aim here is to enhance our focus on key metrics such as precision and recall at various levels (K). With the comprehensive logging of all citation data, we have a solid foundation to employ a language model for an in-depth evaluation of the search system's efficacy. ...
A RAG application is an example of acompound AI system: it expands on the language capabilities of the LLM by combining it with other tools and procedures. In the simplest form, a RAG application does the following: Retrieval:The user’s request is used to query an outside data store, su...
To count the data, run the following query: MATCH (n) RETURN DISTINCT labels(n) AS NodeTypes, count(*) AS Count ORDER BY Count DESC; To execute this query, write in the box on the top and select the blue run button. Results will appear below. What we are seeing here is the infor...
Today, it has become widely accepted that large language models (LLMs), on their own, are insufficient to enable intelligent AI agents that can deliver real value within an enterprise context. Rather, it is only by integrating and augmenting LLMs with enterprise data that we can deliver truly...
Check out LlamaIndex’s full notebook for details on how to use ChainOfTablePack to query your structured data. 查看LlamaIndex的完整笔记本,了解如何使用ChainOfTablePack查询结构化数据的详细信息。 Mix-Self-Consistency Pack 混合自一致性包 LLMs can reason over tabular data in two main ways: LLM可...
focuses on doing RAG on heterogeneous data formats. We first introduce routers, and how they can help managing diverse data sources. We then give tips on how to handle tabular data and will conclude with multimodal RAG, focusing specifically on solutions that handle ...