Operationalizing Large Language Models (LLMs) is the next big opportunity in AI. Any organization…
GenAI Ready Documents & Data
GenAI Ready data with Scalable, composable, multi-modal pipelines from across enterprise document stores any Vector Database
Enterprise Grade Document ETL for Production Ready GenAI Data
Effortlessly scale to ingesting and managing millions of documents across many enterprise systems. Automation that keeps data fresh
Built-in modules for parsing, chunking, and embedding with flexibility to bring any best-in-class component of your choice.
Automated metadata management enables citations, rich context, and lineage, all out of the box in our enterprise-grade solution
GenAI Ready Data that includes information from Databases, APIs, and real-time feeds to supplement Document based data.
Our partnership with NVIDIA brings NIMs that accelerate parsing and embedding generation during ETL
Get Your Data GenAI Ready with Enterprise-Grade Features
Rich connectors for any and all document stores across Sharepoint, SFTP, S3, Dropbox, Box, Google Drive and more to make enterprise wide documents GenAI ready.
Built-in integrations enable no-code pipelines for embeddings to the vector database of your choice including Pinecone, Weaviate, and MongoDB with new connectors delivered under 24 hours
We deliver best in class solution by orchestrating between our built-in PDF parser and advanced parsers from external providers including AWS Textract, Tesseract OCR, and Unstructured
Enhanced chunking algorithms from Nexla improve context retention, but give you the freedom to build or bring your own chunking code in Python.
Multiple choices for Embeddings including OpenAI, Cohere, NIMs, Voyage, and more. It takes minutes to add a new algorithm
Enhance your final outcomes with metadata infused embedding generation for powerful citations and data freshness management
Manage millions of files easily as Nexla track previously ingested files with easy interface to re-ingest, detect new files, changed files, and discard old data
Apply multiple methodologies simultaneously to compare results or try new techniques without disrupting existing solutions
Use Cases Powered by Document ETL
Financial and Legal filings add up to vast volumes of public and non-public data. Converting this data to embeddings makes it GenAI Ready for a RAG model to leverage this data for query, summarization, and answer generation.
Public product reviews, social media content, survey information, and other user generated information is now with reach for analysis as text or upon conversion to structured data
Valuable notes across your EHR/EMR systems in Healthcare, CRMs in Sales, ERP Tools and many more such systems can immediately be ready for use with LLMs, connecting insights from across systems into coherent answers and analysis
Learn More
Get practical advice on how to make your data searchable and ensure data freshness with data integration to and from Pinecone using Nexla’s data integration platform.
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Optimize Generative AI success with these key capabilities. Steer clear of ‘garbage-in, garbage-out’ scenarios by adopting the right technology stack.