tikos 0.1.3

Tikos Platform Library

# Tikos Reasoning Platform

Tikos Reasoning Platform harnesses the power of empirically established 2nd-generation AI and statistical toolsets to offer its users advanced 3rd-generation AI capabilities.

Copyright 2024 (C) Tikos Technologies Limited

## How to access the platform

To get Alpha API keys, please register your request via https://tikos.tech/

## Licence

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

## Release Notes

1. v 0.0.7, added

   1. GetGraphStructure: Automatically extract graph Vertices and Edges that can be further refined by the user

   2. GenerateGraph: Provide Tikos Reasoning Platform the refined graph Vertices and Edges to build the standard knowledge graph

   3. GetGraph: Get the whole graph for an extraction request

   4. GetGraphRelationships: Get relationships between two Vertexes

2. v 0.0.8, added

   1. GetGraphRetrieval: Retrieve query response along with the Graph relationships for the requested retrieve query

3. v 0.0.9, added

   1. GetGraphRetrievalWithDS: Retrieve query response along with the Graph relationships for the requested retrieve query with Graph Node data sets as JSON

4. v 0.1.0, added

   1. Licence conditions

5. v 0.1.1

   1. Added, ProcessExtractFile: Be able to extract data from a specific file and support JSON based extraction using jq based schemas

   2. Modified, ProcessExtract: Support JSON based extraction using jq based schemas

6. v0.1.1

   1. Added, BuildSC: Generate the SequentialCollection knowledge structure for the associated graph Vertices from structured data sets

   2. Added, GetSimilarCase: Providing a Problem Space (PS) case, the Sequential collection will contact a basic binary (BIN, default) search or advanced binary (BINADV) search and return the most similar existing case. This does not perform any case adaptation