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Reliable Extraction and Retrieval for AI Applications at Any Scale

Indexify High Level

Indexify is an open-source engine for embedding, extract structured information, and transform unstructured data(video, audio, images and documents). Indexes are always kept updated as data is ingested. LLM applications can query content by semantic search and SQL queries on embedding and structured data.

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Why Use Indexify

Building a product with LLMs often involves -

  1. Ingesting new data, extracting structured infromation, or embedding and writing them to storage.
  2. Retreiving extracted structured data and embedding so that products don't respond to user queries with stale data.

The challenges of building such applications are -

  1. Extraction of structured data using LLMs, CV or other models are compute intensive and can hurt the performance of your LLM applications.
  2. Multi-Stage extraction process such as breaking down a document or other media files into chunks, and extract embedding and structured information require building a replicated state machine for fault tolerance, and can be hard to get right.

Indexify solves the complexity of building a durable and fast orchestation and ingestion system for running complex extraction and data transformation workflows for LLM Applications. Indexify assures that content meant for extraction are not dropped in production because of faults in compute and storage infrastructure.

Start Using Indexify

Dive into Getting Started to learn how to use Indexify.

If you would like to learn some common usecases - 1. Learn how to build production grade RAG Applications 2. Extract PDF, Videos and Audio to extract embedding and structured data.

Features

  • Makes Unstructured Data Queryable with SQL and Semantic Search
  • Real Time Extraction Engine to keep indexes automatically updated as new data is ingested.
  • Create Extraction Graph to create multi-step workflows for data transformation, embedding and structured extraction.
  • Incremental Extraction and Selective Deletion when content is deleted or updated.
  • Extractor SDK allows adding new extraction capabilities, and many readily avaialble extractors for PDF, Image and Video indexing and extraction.
  • Multi-Tenant from the ground up, Namespaces to isolate sensistive data.
  • Works with any LLM Framework including Langchain, DSPy, etc.
  • Runs on your laptop during prototyping and also scales to 1000s of machines on the cloud.
  • Works with many Blob Stores, Vector Stores and Structured Databases
  • We have even Open Sourced Automation to deploy to Kubernetes in production.