Service that integrates a custom Knowledge Graph builder with LLM capabilities, enabling natural language querying and intelligent insights extraction via Neo4j. The service will be available on the SingularityNET platform and integrated to its knowledge layer via MeTTa-Motto library.
Main purpose
The primary goal of this service is to provide users with an intuitive and powerful tool for accessing and analyzing complex data. By seamlessly integrating advanced knowledge graph technologies with natural language processing, this service will enable users to interact with the SingularityNET platform's knowledge layer in a way that feels natural and straightforward. Users will be able to effortlessly query and explore data using simple language, making sophisticated data analysis accessible to a wider audience, without the need for specialized technical skills.
Long description
The service aims to leverage LLM capabilities to preprocess data from the Standard Template Construct (STC) for ingestion into Neo4j. Users will build custom knowledge graphs based on their specific data requirements. An integrated LLM will interpret natural language queries, converting them into Cypher queries for Neo4j, thus facilitating intuitive and intelligent data exploration. The entire service will be packaged as an AI solution on SingularityNET, with a web-based frontend facilitating AGIX transactions.
Functional Requirements
Custom knowledge graph creation based on STC data.
Data preprocessing using LLMs for Neo4j compatibility.
Natural language query interface powered by LLM.
Accurate conversion of natural language queries to Cypher queries.
Web-based frontend for service access and management.
AGIX payment integration for service usage.
Non-functional Requirements
Integration of Neo4j to MeTTa for knowledge graph management.
Use of LLMs and MeTTa-Motto for data processing and query interpretation.
Compatibility with SingularityNET's platform and payment systems.
Scalability and reliability in handling varying data sizes and query complexities.
Preconditions
N/a
Main evaluation criteria
Technical proficiency in Neo4j, LLMs, MeTTa-Motto, and SingularityNET integration.
Innovation and effectiveness in natural language processing and knowledge graph integration.
Scalability and performance of the proposed solution.
Clarity and practicality of the budget and timeline.
Compliance with data privacy and security standards.
RFP Status
Feedback & Selection
The community and public are invited to view the full proposals and give feedback. During this time the RFP committee will doing their formal selection process to award winning proposals.
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arslantariq786
Jan 23, 2024 | 6:15 AMEdit Comment
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