Flexor can run through millions of documents and create rich embeddings for them in under an hour – outperforming more traditional, generic approaches.
Create rich, context-based metadata for your embeddings with Flexor.
Flexor can run through millions of documents and create rich embeddings for them in under an hour – outperforming more traditional, generic approaches.
Flexor can be used to rapidly classify and annotate your existing data, without setting up complicated data preprocessing workflows – but maintaining high data quality standards.
Flexor can output embeddings that fit neatly into most vector databases including Pinecone, Weaviate, Milus, Qdrant and more.
Flexor is an Unstructured Data Transformation layer, revolutionizing the way companies capitalize on their existing (but untapped) unstructured data sources. With a SQL-first approach, Flexor allows every single data practitioner in your organization to harness the power of LLMs—without extra infrastructure, and without leaving your existing data ecosystem.
1. Extract unstructured data from various sources – for building novel product capabilities
2. Transform text into structured data – for BI & Analytics
3. Build embedding & classification pipelines – for RAG
4. Create text-based data pipelines – for automations & Reverse-ETL
Easily! Just book a demo with us to get started. We can usually get you up and running with the layer in 24 hours or less.
Probably. Flexor supports most vector databases, data warehouses and other data infrastructure platforms (like dbt). Take a look at our integrations page to learn more.