Semantic knowledge graphs for niches

Real time Fast

ThatNeedle's proprietary implementation of knowledge graphs give efficient representation of information for speed.

Hierarchical

Get insights into hierarchies and relationships between entitites based on the vertical. Appropriate relationships are mapped for the vertical.

Vertical aware

Instead of relying on general purpose knowledge graphs, we have niche aware knowledge graphs that take into account your vertical's information. Among others there are legal knowldege graph, pharma knowledge graph, retail knowledge graph etc

These domain specific knowledge graphs are designed to work well with any of ThatNeedle's real time NLP library for optimum real time performance and offline deployment. Please see the wide range of capabilities available. Do contact us for any custom needs for a semantic catalogue or a domain specific application that requires knowledge graphs. Many of the case studies outlined also make use of these graphs in various ways.

If you have your own taxonomies or any preferred taxonomy or ontology, please do let us know. We can incorporate customization from your data lake or KOS/SKOS too. Even if you have no datasets immediately available we can seed with our own data sets and get started.

Programming Language Support

You will get a header file and a .a file (binary static library) that you can use with your C++ program.

Library for Python - You will get a .so file (binary) that you can import in your Python code.

Library for Java - Coming soon !

Testimonial

testimonial text

Founder & CEO

Tech Market Insight

ThatNeedle team truly understood our requirements and came up with a very high quality output in a very quick time. The implementation was easy with absolutely no integration issues. We are getting higher click through rates and more page views after implementing the new search. We are now working on next phase to make the search truly semantic in every sense.

Vivek Agarwal

Founder: realizing.in

Vivek Agarwal

Founder: realizing.in

Setting up the microservice on GNU/Linux flavours

1. After you have downloaded the binary you can run it as :-
thatneedle_topic_for_tech.l <port_number>

2. You will be prompted for a license key
Please type it and press enter. Enter license key here: your-licence-key
Remember that you must be connected to the internet for this.

3. Once the is accepted and validated, you are ready to use the service on your server !
Ready.. You can access the service at http://:6060/?q=your technology text here

Calling the microservice from a python program

Topic extraction in python made easy with our microservice

import requests import json import urllib query = "Setting up Tensorflow on linux" # from the user/ UI query = urllib.parse.quote(query) results = requests.get(F"http://localhost:9090/?q={query}") results_dictionary = json.loads(results.text)

About the deliverables:

1. Deliverable is a binary for 1 machine ( single server license )

2. Please note that source-code is not delivered with this transaction.

3. You can run this as a microservice on your server.

4. You can use it in accordance with EULA(End user license agreement)

5. Please ask for an online trial before you purchase. There are no refunds.