ContextGem

ContextGem is a helpful tool that makes it easier to get useful information from documents. It uses smart language models to do this. Other tools can be slow and hard to use. They need extra code. ContextGem fixes these problems. It is flexible and easy to use. It saves time and makes the information more accurate.

Benefits
ContextGem has many great features that make it special:

• Automated Dynamic Prompt Generation: It makes custom prompts for you. You do not have to do it yourself.
• Automated Data Modeling and Validators: It makes data models and checks for you. This saves time and reduces extra code.
• Precise Granular Reference Mapping: It maps the information back to where it is in the document. This makes sure the information is accurate and easy to trace.
• Extraction Justifications: It shows why it chose the information. This makes the process clear and trustworthy.
• Neural Segmentation: It divides documents into paragraphs and sentences. It supports many languages.
• Unified Extraction Pipelines: It puts the whole process into one, reusable setup.
• Nested Context Extraction: It handles complex documents by getting information in layers.
• Built-in Concurrency: It speeds up the process by doing things at the same time.
• Usage and Cost Tracking: It keeps track of how much it uses and how much it costs. It does this without extra setup.
• Fallback and Retry Logic: It has built-in ways to try again if something goes wrong. It also lets you set up backup language models.

Use Cases
ContextGem can be used in many ways, such as:

• Analyzing Legal Contracts: It finds important parts in legal documents. It does this with little setup.
• Processing Financial Reports: It finds specific numbers and checks the mood of financial documents. It uses multiple language models to do this.
• Screening CVs for Technical Roles: It finds people who match what you need. It does this by getting information from CVs.

ContextGem is great for deep, accurate analysis of documents. It uses the growing abilities of modern language models. It gives a complete experience. It handles common problems like making prompts, data modeling, reference mapping, and managing tasks at the same time. This lets developers focus on what information they need. ContextGem handles the rest accurately and efficiently.

For more information, visit the GitHub page: https://github.com/shcherbak-ai/contextgem. If you are a Python developer, please try it! Your feedback would be much appreciated! And if you like the project, please give it a star to help it grow.