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AI Knowledge Assistant is a mobile app that revolutionizes research with real-time, personalized information.
Back-end

NodeJs
Front-end

EJS

Html Bootstrap
Mobile
Dart
Flutter
1 Member
Laravel
1 Member
QA
1 Member
Project Manager
1 Member
The AI Knowledge Assistant App is an AI-powered chatbot that allows users to access company-specific information and documents.β¨Document formats that are supported include Text (TXT), Comma Separated Values (CSV), Portable Document Format (PDF), Microsoft PowerPoint (PPT), Microsoft Word (DOC), Microsoft Excel (EXL) as well as Links. Information can be organized in Knowledge Repositories and the AI chat can either access an entire Knowledge Repository or just a single document.β¨The AI Knowledge Assistant improves productivity and customer and employee satisfaction by allowing users (employees or customers) to find information faster, make informed decisions and reduce customer or second-level support costs.
It acts as a virtual assistant, swiftly understanding user queries and retrieving relevant data.
Users can effortlessly upload, access, and manage files within the app, streamlining document handling.
This feature enables structured categorization and easy retrieval of data based on topics, projects, or departments.
The app offers fast, intuitive, and accurate search functionality, allowing users to quickly find information by searching for keywords, phrases, or topics.
Leveraging AI technology, the app assists users in making informed decisions by providing accurate and relevant information and analyzing data to offer insights and recommendations.
By automating routine tasks and streamlining support processes, the app reduces customer and second-level support costs, handling a wide range of inquiries with accurate responses.

Challenges
Solutions
The project required in-depth research in Langchain, vector databases, OpenAI, LLMs, and chat memory features.
Our team conducted thorough research to master these technologies, developing a method to store and recall chat memory efficiently.
Integrating various document types (txt, Word, Excel, CSV, PDF, URL) for AI chat was difficult as some were not natively supported in Langchain.
We created custom conversion tools to make all document types compatible with langchain, enabling seamless chat functionality.
Langchain does not support merging document and URL data for chat functionalities.
We developed methods to read data from URLs and convert it into document files, allowing integration within the chat system.
Combining multiple documents for cohesive chat interactions was challenging.
We designed algorithms to parse, combine, and manage data from various documents, ensuring smooth integration.
Reading and combining unstructured documents, especially unique Excel files, was complex due to the limited documentation of the Unstructured API.
We utilised community support from discord to effectively implement the Unstructured API, successfully managing unstructured documents.
π Objective Achievement: Exceeded goals with significant market penetration and robust revenue growth.
π User Satisfaction: High satisfaction achieved through innovative features and global reach.
π Commitment to Security: Maintained strong user security and privacy.
π Strategic Partnerships: Enhanced value and expanded offerings through strategic partnerships.
π Ongoing Evolution: Continues to evolve, delivering unparalleled value to a diverse user base.

Daxesh and his team are amazing. They are super customer oriented, very friendly, easy to work with and very experienced and skilled. It was an absolute pleasure working with Daxesh and his team and we will for sure engage them again and I can 100% recommend him to work with. The best freelancer / agency on Upwork I have worked with so far.
Christian Borchert
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