Intelligent Enterprise Knowledge Base Solution
Intelligent Customer Service Solution
Chat BI SolutionIntelligent Investment Research Solution
Business Scenarios and Pain Points
Pain Points
01
Insufficient depth of knowledge
Traditional investment research databases have completed the collection and sorting of unstructured data such as research reports, minutes, information and announcements, but lack of knowledge sorting and analysis based on these data to form professional depth in the investment research field.
Pain Points
02
Insufficient retrieval accuracy
The daily update of a large number of announcements and research reports, and the traditional search based on keyword matching make it difficult to grasp the true intention of users, effectively draw on external data, and accurately grasp the trend of investment research.
Pain Points
03
Reporting takes longer
The desk documents are of various formats, the reference content is numerous and complex, and it takes a long time to organize and present, and the weekly and monthly reports, comments, investment research reports, etc. cannot be automatically generated, resulting in insufficient timely feedback of investment research information.
Pain Points
04
Q&A experience is not good
In the traditional Q&A interactive process of investment research, users' questions cannot be accurately understood, and questions about the depth of knowledge in the field of investment research cannot be filled or rewritten, resulting in low interaction efficiency and poor user experience.
Intelligent Investment Research Solution
Based on semantic understanding and knowledge expansion in the investment research field
Based on the Mengzi pre-training model technology system, through the study of a large number of professional basic corpus in the financial field, Q&A pairs with in-depth knowledge in the investment research field are automatically extracted for data such as research reports, announcements and public opinions, so as to enrich and expand the investment research information database.
Multi-data source, multi-format, multi-document intelligent Q&A
Mchat combined with retrieval enhancement technology, through strong text parsing ability to build multi-document aggregation knowledge base; Self-developed embedded model and pre-trained ranking model to improve the accuracy and authenticity of Q&A.
Automated report generation of custom templates
Train on financial vertical data such as financial reports and research reports to further strengthen the vertical writing ability of Mengzi pre-trained models. Based on user-provided materials and custom writing templates, reduce illusions, fully follow the writing requirements, and align the writing specifications.
Business Value
Enhance the analytical capability of investment research knowledge base
Through detailed analysis of investment research business concerns and business knowledge, the Bank gradually enhances the investment research knowledge accumulation of large models, and automatically generates questions with business depth to facilitate users to quickly analyze and ask questions and acquire investment research knowledge.
Improve the efficiency of knowledge acquisition
For closed-domain documents, it provides investment research analysts, researchers, product managers, etc. with always-on investment research analysis assistant, helping users quickly grasp the gist of the documents, achieve quick knowledge ingestion, and improve work efficiency.
Optimize report presentation time and content
Strengthen the understanding of knowledge in the investment research field, precipitate the standardized reporting system, quickly retrieve and integrate the fragmented information in the designated documents, and realize the rapid generation and processing of content oriented to business needs according to the customized report template.
Application Cases
Related Products
Mengzi Models
Langboat's in-house developed large language model, capable of handling multilingual, multimodal data, and supporting various text understanding and text generation tasks. It can rapidly meet the requirements of different domains and application scenarios.
Financial Applications
Providing various NLP capabilities with strong versatility in the financial industry through APIs.
Market Search and Research Platform
Financial Market Search and Research Platform is an integrated platform solution for information search, analysis and judgment, and decision support for market research and investment decision-making.
Business Cooperation Email
Address
Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.
© 2023, Langboat Co., Limited. All rights reserved.
Large Model Registration Code：Beijing-MengZiGPT-20231205
Business Cooperation:
bd@langboat.com
Address:
Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.
Official Accounts:
© 2023, Langboat Co., Limited. All rights reserved.
Large Model Registration Code：Beijing-MengZiGPT-20231205
