ApexIQ/End-to-End-Graphrag-implementation
End-to-End-Graphrag-implementation
This tool helps you transform large volumes of unstructured text, like documents or reports, into a structured knowledge graph. It takes your raw text files and converts them into interconnected entities and relationships, which can then be queried to get accurate answers. This is ideal for researchers, analysts, or anyone who needs to extract precise information and insights from extensive text data.
No commits in the last 6 months.
Use this if you need to build a knowledge graph from your own text documents to enable powerful question-answering capabilities using advanced AI models.
Not ideal if you are looking for a ready-to-use application with a graphical interface or if you don't have access to an Azure OpenAI deployment.
Stars
23
Forks
12
Language
—
License
—
Category
Last pushed
Jul 16, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/ApexIQ/End-to-End-Graphrag-implementation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
zilliztech/vector-graph-rag
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
gibram-io/gibram
GibRAM is an in-memory knowledge graph server designed for retrieval augmented generation (RAG /...
scthornton/hybrid-rag-pivot-attacks
Retrieval Pivot Attacks in Hybrid RAG (Vector → Graph)
NamelyCorp/NamelyCorp-Vector-DB-RAG
Production-ready Vector Database RAG system with PHP Web UI, Qdrant backend, and optional Ollama...
iAmLakshya/Lattice
Graph-powered code intelligence - hybrid RAG with graph and vector search