RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
Two-tier hybrid search for Rust: sub-millisecond initial results via potion-128M, quality-refined rankings in 150ms via MiniLM-L6-v2. Combines lexical (Tantivy BM25) and semantic (vector cosine) search with Reciprocal Rank Fusion. Progressive iterator API, f16 SIMD vector index, feature-gated compilation.
Unified web search + content extraction extension for pi with 19 backends. Auto-fallback, RRF combine mode, targeted combine, pluggable web_read (Jina/Sofya/Firecrawl/Exa), and env/shell credential resolution.
Production-grade hybrid RAG: BM25 + dense retrieval + cross-encoder reranking + LLM-as-Judge
Reciprocal Rank Fusion (RRF) multi-retriever rank aggregator with rank discount constant
Offline Netflix catalog search with BM25, dense retrieval, hybrid RRF, cross-encoder reranking, and reproducible relevance evaluation.
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).
Reciprocal Rank Fusion (RRF) multi-retriever rank aggregator with rank discount constant
Allows you to merge search results from multiple search engines using the reciprocal rank fusion algorithm.
Embedded long-term memory runtime & vector search engine for AI agents
A state-of-the-art Information Retrieval system for TREC ROBUST04 achieving MAP 0.3309. Features a Novel 4-Way RRF Fusion architecture combining BM25, Neural Reranking (Cross-Encoders), and LLM-Augmented Query Expansion (Query2Doc) via LiteLLM.
Citation-grounded legal RAG assistant for Indian startup and corporate law. Hybrid BM25 + weighted RRF retrieval over 47,867 statutory documents. IEEE-published.
Hybrid search on the Postgres you already have. Vector + full-text + Reciprocal Rank Fusion, on plain pgvector — no extensions, no vector database, no Elasticsearch.
RAG over Indian law with verifiable citations: hybrid BM25 and vector retrieval fused by reciprocal rank fusion across roughly 19k chunks of judgments, statutes and case records.
Analysis and implementational details of rank aggregation methods for combing results of multiple engines to achieve best mAP and P@5,10 values
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.
Autonomous log-investigation engine retrieves evidence with hybrid BM25 + vector search (RRF + cross-encoder reranking) and drives an agent that reads, hypothesizes, and probes iteratively to surface root causes.
A high-performance Retrieval-Augmented Generation pipeline for technical Q&A workloads. Combines hybrid retrieval (dense + BM25), query expansion, Reciprocal Rank Fusion (RRF), and cross-encoder re-ranking to improve retrieval precision and answer grounding. Evaluated with Ragas, showing measurable gains in context recall and faithfulness.
RAG-based interview assistant with hybrid dense+sparse retrieval, query routing, and source-cited answers grounded in real resume/project data.
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