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Added Neo4j to readme

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JackColquitt 2024-08-14 14:30:39 -07:00
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## Introduction
TrustGraph is a true end-to-end (e2e) knowledge pipeline that performs a `naive extraction` on a text corpus
TrustGraph is a true end-to-end (e2e) knowledge pipeline that performs a `Naive Extraction` on a text corpus
to build a RDF style knowledge graph coupled with a `RAG` service compatible with cloud LLMs and open-source
SLMs (Small Language Models).
@ -30,7 +30,7 @@ by deploying multiple containers.
- Mixed model deployments
- Application of a [HuggingFace](https://hf.co) embeddings models
- [RDF](https://www.w3.org/TR/rdf12-schema/)-aligned Knowledge Graph extraction
- Graph edge loading into [Apache Cassandra](https://github.com/apache/cassandra)
- Graph edge loading into [Apache Cassandra](https://github.com/apache/cassandra) or [Neo4j](https://neo4j.com/)
- Storing embeddings in [Milvus](https://github.com/milvus-io/milvus)
- Build and load [Knowledge Cores](https://trustgraph.ai/docs/category/knowledge-cores)
- Embedding query service
@ -73,6 +73,8 @@ package installed can also run the entire architecture.
provide a response to a text prompt.
- `triples-write-cassandra` - Takes knowledge graph edges and writes them to
a Cassandra store.
- `triples-write-neo4j` - Takes knowledge graph edges and writes them to
a Neo4j store.
- `kg-extract-definitions` - knowledge extractor - examines text and
produces graph edges.
describing discovered terms and also their defintions. Definitions are