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Submitted URL: http://getindexify.ai/
Effective URL: https://getindexify.ai/
Submission: On January 03 via api from US — Scanned from DE

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Indexify
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Indexify
diptanu/indexify
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 * Home Home
   Table of contents
    * Multi-Modal Structured Extraction and Real Time Indexing for Large
      Language Models Applications
    * Why use Indexify
    * Start Using Indexify

 * Getting Started
 * Concepts
 * Guides
   Guides
    * Extractors
    * Content Ingestion
    * Retrieval

 * Configuration
 * Deployment
 * Develop Indexify
 * Integrations
   Integrations
    * Langchain

Table of contents
 * Multi-Modal Structured Extraction and Real Time Indexing for Large Language
   Models Applications
 * Why use Indexify
 * Start Using Indexify


INDEXIFY


MULTI-MODAL STRUCTURED EXTRACTION AND REAL TIME INDEXING FOR LARGE LANGUAGE
MODELS APPLICATIONS

Indexify is a reactive structured extraction engine for un-structured data such
as PDFs, raw text, audio and video.

Applications leveraging LLMs for autonomous planning or queries necessitate
timely index updates aligned with data changes or new extraction methods.
Indexify enables both, by applying feature extractors on data in real-time and
updating one or many indexes.

Storage is pluggable, we support few different vector stores for embeddings and
document stores for structured data.


WHY USE INDEXIFY

 * Knowledge Base for LLMs: Real-time retrieval of knowledge and context from
   private documents and structured data to improve the accuracy of LLM models.
 * Distributed Extraction Engine For Scale: Distributed extraction to scale
   indexing large amounts of data without sacrificing retrieval performance.
 * Custom Extractors: You can extend Indexify by writing a custom extractor for
   your use cases to extract specific information from data.
 * Pluggable Storage: Easily add support for new storage backends.


START USING INDEXIFY

Dive into Getting Started to learn how to use Indexify.

Copyright © 2023 Indexify