This content originally appeared on DEV Community and was authored by Danny Chan
Use Case 1:
📁 PDF Search App with Vector Search and LLMs
💼 Retrieval-Augmented Generation (RAG)
Problem: 🔍
- PDF is unstructured data
- Difficult to search
- Leading claim adjusters reviewing contracts, claims
- Need efficiency and accuracy for this historically cumbersome task
- Summarize content of documents
- Indicate source of information
Challenge: 🤯
- Underwriters, claim adjusters go through numerous pages of guidelines, contracts, reports
- Time-consuming
- Lead to expensive mistakes (incorrect risk estimations)
Details: 🗂️
- Provide PDF based on user's country
- Vector search query particular document
- Filtering out the non-relevant PDF
Index Pre-Filtering: 🔍
- Must index fields with data type
- Only includes record with correct data type
Search Nodes Dedicated Architecture: 🛠️
- Support both Atlas Search & Vector Search workloads
Use Case 2:
📊 Claim Management using LLMs and Vector Search for RAG
Challenges: 🙆♀️
- Claim adjusters pulling and aggregating info from different systems with data formats
- Content-sharing platform
- Customer information locked in a legacy CRM
- Claim-related pictures, voice reports
- Unstructured data
- Streamline operations
Solution: 🔍🤖
- Atlas Vector Search
- Large Language Model (LLM)
- Retrieval Augmented Generation (RAG)
Vector Search Query: 🔍
- Get both vector embeddings and plaintext metadata
- Don't need to retrieve data
Aggregation Pipeline: 🧠
- Process multiple documents and return computed results
Reference:
Claim management using LLMs and vector search for RAG
https://www.mongodb.com/solutions/solutions-library/claim-management-llms-vector-search
Harnessing the Power of Atlas Vector Search and Open Source Models
https://www.mongodb.com/developer/products/atlas/building-generative-ai-applications-vector-search-open-source-models/?hideMenu=1
Build a PDF search application with vector search and LLMs
https://www.mongodb.com/solutions/solutions-library/pdf-search-with-vector-search-and-llm
This content originally appeared on DEV Community and was authored by Danny Chan
Danny Chan | Sciencx (2024-08-05T14:05:49+00:00) 🌐 Financial Industry Side Chat: MongoDB Atlas Vector Search Real-World User Case (Search Internal PDF Documents) 💰. Retrieved from https://www.scien.cx/2024/08/05/%f0%9f%8c%90-financial-industry-side-chat-mongodb-atlas-vector-search-real-world-user-case-search-internal-pdf-documents-%f0%9f%92%b0/
Please log in to upload a file.
There are no updates yet.
Click the Upload button above to add an update.