Synalinks is an open-source framework designed to streamline the creation, evaluation, training, and deployment of industry-standard Language Models (LMs) applications
π We're thrilled to unveil Synalinks (π§ π), an open-source framework designed to streamline the creation, evaluation, training, and deployment ofβ¦
Synalinks (π§ π), an open-source framework designed to streamline the creation, evaluation, training, and deployment of industry-standard Language Models (LMs) applications
A zero-hallucination AI chatbot that answered over 10000 questions of students at the University of Chicago using GraphRAG
UChicago Genie is now open source! How we built a zero-hallucination AI chatbot that answered over 10000 questions of students at the University of⦠| 25 comments on LinkedIn
a zero-hallucination AI chatbot that answered over 10000 questions of students at the University of Chicago
Enhancing RAG-based apps by constructing and leveraging knowledge graphs with open-source LLMs
Graph Retrieval Augmented Generation (Graph RAG) is emerging as a powerful addition to traditional vector search retrieval methods. Graphs are great at repre...
We're excited to publicly release the Diffbot GraphRAG LLM! With larger and larger frontier LLMs, we realized that they would eventually hit a limit in terms⦠| 48 comments on LinkedIn
Join us for the first GraphGeeks Talk of 2025!! π "Exploring News at Scale with On-the-Fly Graphs" ποΈ January 15th at 9:00 AM PT | 17:00 London Joinβ¦
Graph_RAG: A Flask app running GraphRAG for healthcare, made with Vertex AI and Neo4j, to be deployed in a container
A Flask app running GraphRAG for healthcare, made with Vertex AI and Neo4j, to be deployed in a container (Cloud Run or ECS). - RubensZimbres/Graph_RAG
Building Knowledge Graphs with LLM Graph Transformer
π§±Building Knowledge Graphs with LLM Graph Transformer A deep dive into LangChainβs implementation of graph construction with LLMs If you want to try outβ¦ | 32 comments on LinkedIn
Building Knowledge Graphs with LLM Graph Transformer
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graphβ¦
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
Using LLMs in each stage of building a Graph RAG chatbot: A case study
How we used KΓΉzu in combination with LLMs in multiple stages of the Graph RAG pipeline to build a QA chatbot for the Connected Data London Knowledge Graph Challenge
cosdata/cosdata: Cosdata: A cutting-edge AI data platform for next-gen search pipelines. Features semantic search, knowledge graphs, hybrid capabilities, real-time scalability, and ML integration. Designed for immutability and version control to enhance AI projects.
Cosdata: A cutting-edge AI data platform for next-gen search pipelines. Features semantic search, knowledge graphs, hybrid capabilities, real-time scalability, and ML integration. Designed for immu...
#Alhamdulillah, Our iText2KG has achieved over 300 stars and 27 forks in just 10 days after its release, and it is currently ranked among the top 12 trendingβ¦
ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
⨠Attention Information Extraction Enthusiasts ⨠I am excited to announce the release of our latest paper and model family, ReLiK, a cutting-edge⦠| 33 comments on LinkedIn
π₯³Β The Wait is Over!Β As promised from my last post (https://lnkd.in/g9_-9i8D), I took MSFT open-source GraphRAG for a ποΈπ¨Β road testΒ via my JAM4RAG (Justβ¦ | 12 comments on LinkedIn
loading Microsoft Research GraphRAG data into Neo4j
Many people have asked about loading Microsoft Research #GraphRAG data into Neo4j. I wrote a quick notebook last night to import Documents, Chunks (TextUnit)β¦ | 27 comments on LinkedIn
loading Microsoft Research hashtag#GraphRAG data into Neo4j
GitHub - a-s-g93/neo4j-runway: End to end solution for migrating CSV data into a Neo4j graph using an LLM for the data discovery and graph data modeling stages.
End to end solution for migrating CSV data into a Neo4j graph using an LLM for the data discovery and graph data modeling stages. - a-s-g93/neo4j-runway
This notebook converts CSV data into a Neo4j Graph Database
This notebook converts CSV data into a Neo4j Graph Database. All you do is describe your data. Have you wanted to see what your data looked like as a graphβ¦
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
Reduce LLM hallucinations with RAG over textual as well as structured knowledge bases. Today we are releasing WSTaRK h, a large-scale LLM retrieval benchmark⦠| 22 comments on LinkedIn
Have you tried Croissant? If not, you are missing out. Using LLMs to generate knowledge graphs is an exciting area of exploration. My colleague JesΓΊs Barrasaβ¦
GitHub - iAmmarTahir/KnowledgeGraphGPT: Transform plain text into a visually stunning Knowledge Graph with GPT-4 (latest preview)! It converts text into RDF tuples, and highlights the most frequent connections with a vibrant color-coding system. Download the results as a convenient JSON file for easy integration into your own projects.
Transform plain text into a visually stunning Knowledge Graph with GPT-4 (latest preview)! It converts text into RDF tuples, and highlights the most frequent connections with a vibrant color-coding...