rrf
Here are 27 public repositories matching this topic...
🧬🔍 Vecgo is a pure Go, embeddable, hybrid vector database designed for high-performance production workloads. It combines commit-oriented durability with HNSW + DiskANN indexing for best-in-class performance.
-
Updated
Jan 19, 2026 - Go
FastAPI backend for archive.ire.org
-
Updated
Mar 14, 2026 - Python
Persistent, auditable, contradiction-safe memory for coding agents. Hybrid BM25 + vector retrieval, 19 MCP tools, co-retrieval graph, MIND-accelerated scoring. Zero external dependencies.
-
Updated
Mar 22, 2026 - Python
Performance Evaluation of Rankers and RRF Techniques for Retrieval Pipelines: Employs Diversity, Lost-in-the-Middle, and Similarity rankers to reorder documents and maximize LLM context window performance. Implements Hybrid Retrieval with Reciprocal Rank Fusion (RRF) and rigorous BEIR evaluation (NDCG, MAP, Recall, Precision).
-
Updated
Nov 23, 2025 - Python
AmanMCP is a local-first RAG MCP server for developers - providing hybrid search (BM25 + semantic) over codebases for AI assistants like Claude Code and Cursor.
-
Updated
Jan 17, 2026 - Go
Intent-aware hybrid search for e-commerce using Qdrant, IBM Granite embeddings, and Gemini 3.1 Flash Lite.
-
Updated
Mar 16, 2026 - Jupyter Notebook
This demo showcases a store associate application built on MongoDB Atlas, created to streamline product discovery and inventory visibility as part of a unified commerce strategy.
-
Updated
Mar 20, 2026 - JavaScript
Synapse AKG: High-performance Agentic Knowledge Graph with hybrid search (KNN + BM25 + RRF) for AI agents
-
Updated
Mar 19, 2026 - Python
🔍 High-performance Hybrid RAG implementation using Clean Architecture. Combines semantic vector search with keyword-based retrieval using RRF (Reciprocal Rank Fusion).
-
Updated
Feb 2, 2026 - Python
Information Retreival Course Repository, 7th Semester, IITD, 2023-24
-
Updated
Dec 11, 2023 - C
-
Updated
Aug 21, 2024 - Jupyter Notebook
Hybrid RAG with three retrievers—Lexical (BM25), Semantic (embeddings), and Hybrid (Reciprocal Rank Fusion) — parallel retrieval, Llama 3 generation, and side-by-side evaluation with reproducible notebooks.
-
Updated
Sep 2, 2025 - Jupyter Notebook
Hybrid retrieval core for agent systems: semantic + keyword + contextual reranking with resilient fallback paths.
-
Updated
Mar 4, 2026 - Python
Improve this page
Add a description, image, and links to the rrf topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the rrf topic, visit your repo's landing page and select "manage topics."