vector-database topic
AI-Lawyer-RAG-with-Deepseek
AI Lawyer is an intelligent reasoning legal assistant powered by DeepSeek , Ollama RAG and LangChain, designed to streamline legal research and document analysis. By leveraging retrieval-augmented gen...
Hybrid-Search-RAG
This repository contains hybrid-rag a LLMOPS python package
DocSense
An interactive web application for comparing PDF documents using cosine similarity scans and a chatbot interface to explore and interact with PDF content.
neuron-ai
The PHP Agentic Framework to build production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data. With its modular architecture it's...
deep-searcher
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
bge-m3-qdrant-sample
A demonstration of hybrid search with reranking using Qdrant and BGE-M3 model. A showcase of dense and sparse retrieval combined with ColBERT reranking for optimal search results
bge-m3-onnx
ONNX implementation of the BGE-M3 multilingual embedding model and tokenizer with native C#, Java, and Python implementations. Generates all three embedding types: dense, sparse, and ColBERT vectors.
strwythura
Construct knowledge graphs from unstructured data sources, use graph algorithms for enhanced GraphRAG with a DSPy-based chat bot locally, and curate semantics for optimizing AI app outcomes within a s...
End-to-End-Graphrag-implementation
End-to-End-Graphrag-implementation
odsc-agentic-ai-summit-2025
Code from the ODSC Agentic Graph RAG workshop combining vector, FTS & graph retrieval for RAG. Includes observability and guardrails for evaluating outputs.