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Indexify
Indexify
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Indexify
Data AnalysisDevelopment & Tools#Data Extraction#Real-time Processing#Multi-modal#Custom Adapters#Kubernetes DeploymentEnglish PicksPaid
Overview :
Indexify is an open-source data framework featuring a real-time extraction engine and pre-built extraction adapters, enabling reliable data extraction from various unstructured data sources like documents, presentations, videos, and audio. It supports multi-modal data, offers advanced embedding and chunking techniques, and allows users to create custom extractors using the Indexify SDK. Indexify empowers LLM applications to access the most accurate and up-to-date data by supporting semantic search and SQL queries for images, videos, and PDFs. Moreover, Indexify facilitates prototyping when running locally and utilizes pre-configured Kubernetes deployment templates in production environments for automatic scaling and handling of large data volumes.
Target Users :
Indexify is designed for enterprises and developers who need to process large volumes of unstructured data and require rapid access to the latest information. Whether in the prototyping phase or a production environment, Indexify provides powerful data extraction and retrieval capabilities, helping users maintain the accuracy and responsiveness of their LLM applications.
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Use Cases
Provide real-time data updates for LLM applications using Indexify.
Extract key information from videos and audio using Indexify's extractors.
Retrieve specific document content using Indexify's SQL query functionality.
Features
Real-time Data Extraction: Supports extracting data from videos, audio, and PDFs.
Multi-modal Support: Suitable for various data types, including documents, presentations, videos, and audio.
Custom Extractors: Users can create their own extractors with the Indexify SDK.
Semantic Search and SQL Queries: Simplifies the retrieval process for unstructured data.
Cross-Platform Deployment: Supports deployment in local and Kubernetes environments.
Automatic Scaling: Handles large data volumes and adapts to different scale requirements.
End-to-End Observability: Provides system monitoring and optimization tools.
How to Use
1. Download and start the Indexify server and extractors.
2. Create an extraction blueprint defining the data extraction flow and rules.
3. Feed in documents, videos, and other unstructured data.
4. Use pre-built extractors or custom extractors for data transformation or extraction.
5. Retrieve extracted data using semantic search or SQL queries.
6. Adjust the extraction blueprint as needed to optimize data extraction and retrieval.
7. Leverage Indexify's automatic scaling for handling large-scale data.
8. Monitor system performance to ensure efficient and accurate data extraction and retrieval.
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