Join us for an industry talk in The 7th International Conference on Applied Machine Learning and Data Analytics AMLDA 2024 on 21st Dec.
Join us for an industry talk in The 7th International Conference on Applied Machine Learning and Data Analytics AMLDA 2024 on 21st Dec.

Pricing

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Knowledge Graph RAG Search

$ 995 Per month
  • 1000 Documents / 3000 Pages / 350 Tokens / Page
  • doc, docx, txt, pdf
  • Extra Pages @ $0.45 Per Page
    (limit upto 1000 Pages within the month)
  • Search with Signals based on anchor entities
  • Download Knowledge Graph Triples in JSON-LD
  • Single user access
  • TextDistil Server - Upto 100 Hours / Month

  • * Initial, one-time on-boarding cost: $3000

  • * Prices are valid in US only!
    Contact us for prices in other regions

Natural Language Query (NLQ)

Custom Pricing
  • NLQ Interface to

    SQL,

    SPARQL,

    GraphQL,

    Custom Query Languages,

    JSON-API,

    OData API (ex: SAP)

Enterprise

(Consulting & Project Services)
Custom Pricing
  • Corpus of 10K to Millions of Documents
  • Outputs: Nquad, JSON-LD, JSON
  • Open text (multi-hop) Search, Query API
  • Alerts against Signals, Complex Signals

  • Custom ML Models
  • Knowledge graph built from Domain Corpus

  • Ontology & Taxonomy Development
  • Knowledge Analytics, Enterprise Knowledge Graph
  • ML / NLP / Semantic Technology /
    LLM Skills & Resources
  • Annotation / Text Labelling Resources

FAQ

  • News – Trade publications, General News, Newswires – Factive, Bloomberg, Reuters, Factset, Ravenpack, Morningstar, etc.)
  • News letters – Industry specific newsletters, digests
  • Private – Agreements, Termsheets – internal documents relevant for analysis
  • Public – Fund Strategies, Prospectuses, Financial Analysis reports, SEC filings, Court Filings, Company BLOGs, Press Releases, Earnings Call transcripts
  • Social – Twitter feeds

English is the only language supported at this time. 

We will update the website when we start supporting other languages.

TextDistil extracts facts from raw narrative text.  These facts are formatted into RDF triples in the form of NQUADs (Sub, Pred, Obj, Graph) and/or JSON-LD or JSON.  Results can be loaded into your own RDF Semantic Graph Database or Property Graph database.  You can also use the JSON in downstream applications.

Uploaded documents are stored in AWS S3 directories designated for specific users. 

The documents you upload are visible only to you and the TextDistil software.  It is end-to-end automated with no human involved in the process.

Further, the documents are stored in designated directories for individual users on Amazon AWS.

Contact us for more questions.

 

Yes. You will be able to download the results in NQUAD or JSON formats (check availability), if your subscription package includes access to the ‘Knowledge Graph Query – API’.

You will need to train the TextDistil models on the new concept(s).  

Contact us for concepts/ classes for custom training. We offer re-training our models as a service, to support prediction of new classes.

 

Get in touch with us