RAG Chatbot with Page Citations
AI Chatbot Boosts Research Efficiency
50% Reduction in Time Spent Searching Reports
Users could quickly find relevant information within large PDF reports, significantly reducing the time spent on manual searches.
40% Increase in User Engagement Metrics
The chatbot's intuitive interface led to a 40% increase in user engagement with the reports, as users found it easier to obtain the insights they needed.
99.8% Citation Accuracy
The references we implemented with page numbers were accurate and free from hallucinations.
Challenge
PSFK needed to optimise their accessibility to market research reports and improve user engagement. Traditional methods of navigating PDF reports were inefficient and time-consuming, creating barriers for users seeking quick insights. Using open source technology Alive Industries was asked to develop a RAG (Retrieval Augmented Generation) chatbot able to provide accurate responses for the market research reports including citations of its sources along with page numbers.
Process
We developed a chatbot integrated with RAG functionalities, allowing users to interact with and query PDF market research reports directly. The process included:
Assessment: Understanding the specific requirements for navigating complex PDF documents.
Development: Creating a chatbot with Retrieval Augmented Generation capabilities to understand and respond to user queries.
Integration: Ensuring seamless integration with existing PDF databases and implementing citations for easy reference.
Solution
The solution included building a chatbot using LLMware. LLMware was chosen for its ability to provide accurate citations with page numbers and its capability to handle extensive document parsing, text chunking, and embedding. This allowed users to interact with PDF reports more efficiently and obtain key insights without manual navigation.
Summary
The RAG chatbot significantly enhanced the usability and accessibility of PSFK's market research reports. By simplifying the process of extracting valuable information, the chatbot improved user satisfaction and engagement, leading to more informed and timely business decisions.
RAG Chatbot with Page Citations
AI Chatbot Boosts Research Efficiency
50% Reduction in Time Spent Searching Reports
Users could quickly find relevant information within large PDF reports, significantly reducing the time spent on manual searches.
40% Increase in User Engagement Metrics
The chatbot's intuitive interface led to a 40% increase in user engagement with the reports, as users found it easier to obtain the insights they needed.
99.8% Citation Accuracy
The references we implemented with page numbers were accurate and free from hallucinations.
Challenge
PSFK needed to optimise their accessibility to market research reports and improve user engagement. Traditional methods of navigating PDF reports were inefficient and time-consuming, creating barriers for users seeking quick insights. Using open source technology Alive Industries was asked to develop a RAG (Retrieval Augmented Generation) chatbot able to provide accurate responses for the market research reports including citations of its sources along with page numbers.
Process
We developed a chatbot integrated with RAG functionalities, allowing users to interact with and query PDF market research reports directly. The process included:
Assessment: Understanding the specific requirements for navigating complex PDF documents.
Development: Creating a chatbot with Retrieval Augmented Generation capabilities to understand and respond to user queries.
Integration: Ensuring seamless integration with existing PDF databases and implementing citations for easy reference.
Solution
The solution included building a chatbot using LLMware. LLMware was chosen for its ability to provide accurate citations with page numbers and its capability to handle extensive document parsing, text chunking, and embedding. This allowed users to interact with PDF reports more efficiently and obtain key insights without manual navigation.
Summary
The RAG chatbot significantly enhanced the usability and accessibility of PSFK's market research reports. By simplifying the process of extracting valuable information, the chatbot improved user satisfaction and engagement, leading to more informed and timely business decisions.
RAG Chatbot with Page Citations
AI Chatbot Boosts Research Efficiency
50% Reduction in Time Spent Searching Reports
Users could quickly find relevant information within large PDF reports, significantly reducing the time spent on manual searches.
40% Increase in User Engagement Metrics
The chatbot's intuitive interface led to a 40% increase in user engagement with the reports, as users found it easier to obtain the insights they needed.
99.8% Citation Accuracy
The references we implemented with page numbers were accurate and free from hallucinations.
Challenge
PSFK needed to optimise their accessibility to market research reports and improve user engagement. Traditional methods of navigating PDF reports were inefficient and time-consuming, creating barriers for users seeking quick insights. Using open source technology Alive Industries was asked to develop a RAG (Retrieval Augmented Generation) chatbot able to provide accurate responses for the market research reports including citations of its sources along with page numbers.
Process
We developed a chatbot integrated with RAG functionalities, allowing users to interact with and query PDF market research reports directly. The process included:
Assessment: Understanding the specific requirements for navigating complex PDF documents.
Development: Creating a chatbot with Retrieval Augmented Generation capabilities to understand and respond to user queries.
Integration: Ensuring seamless integration with existing PDF databases and implementing citations for easy reference.
Solution
The solution included building a chatbot using LLMware. LLMware was chosen for its ability to provide accurate citations with page numbers and its capability to handle extensive document parsing, text chunking, and embedding. This allowed users to interact with PDF reports more efficiently and obtain key insights without manual navigation.
Summary
The RAG chatbot significantly enhanced the usability and accessibility of PSFK's market research reports. By simplifying the process of extracting valuable information, the chatbot improved user satisfaction and engagement, leading to more informed and timely business decisions.