Contextual Retrieval solves this problem by prepending chunk-specific explanatory context to each chunk before embedding (“Contextual Embeddings”) and creating the BM25 index (“Contextual BM25”).
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Sep 29, 2024 - Python
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contextual-retrieval
Here are 36 public repositories matching this topic...
Contextual RAG over webinar videos using Pinecone, Claude and AWS.
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Sep 2, 2026 - Python
RAG-Ingest: A tool for converting PDFs to markdown and indexing them for enhanced Retrieval Augmented Generation (RAG) capabilities.
information-retrieval aws-s3 document-ingestion hybrid-search qdrant llamaindex retrieval-augmented-generation ollama pdf-to-markdown contextual-retrieval qdrant-rag
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Nov 22, 2024 - Python
It is a case study of an intelligent agent for Ocean.
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Jan 22, 2026 - Python
Header-aware chunking for RAG, plus mk.diagnose: test on your own documents whether to spend on the retriever, a reranker or LLM enrichment. Zero dependencies. Code for arXiv:2603.23533.
python markdown information-retrieval retrieval embeddings chunking bm25 reranking rag text-splitter hybrid-search llm langchain llamaindex retrieval-augmented-generation rag-evaluation contextual-retrieval
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Oct 26, 2026 - Python
Enhance your RAG with Contextual Retrieval
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Sep 30, 2024 - Python
Production-grade multi-agent RAG system with a self-correcting LangGraph supervisor (Researcher, Synthesizer, Critic), agentic tool calling, hybrid search, and an MCP server. Built with Gemini 2.5 Flash, FastAPI, Next.js 16, Postgres, pgvector, Redis, and Celery.
redis postgres celery multi-agent-systems rag fastapi huggingface gemeni hybrid-search llm langchain pgvector langgraph agentic-rag agentic-ai tool-calling contextual-retrieval mcp-server nextjs16
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Aug 24, 2026 - Python
基于上下文增强（Contextual Retrieval）的 RAG 检索系统。
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Oct 4, 2026 - Python
Local-first document → RAG pipeline for Node: PDF, DOCX, PPTX, XLSX, HTML and images to chunks with layout analysis, tables, figures, OCR and reranking on ONNX — any LLM provider, or fully local with Gemma 4
nodejs pdf typescript ocr retrieval mcp embeddings gemini gemma mistral table-extraction layout-analysis onnx chunker rag local-first llm document-parsing ollama contextual-retrieval
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Oct 21, 2026 - TypeScript
Shared knowledge layer for human-agent teams. Agents search, classify, and manage knowledge alongside your team.
knowledge-base obsidian ai-agents rag vector-search golden-path hybrid-search azure-openai human-ai-collaboration contextual-retrieval sqlite-vec
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Oct 21, 2026 - Python
ContextualRetriever enhances document retrieval accuracy by leveraging Voyage AI models for embedding & reranking models, and the GEMINI model for context and retrieval generation.
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Dec 4, 2024 - Python
Chatbot based on Contextual RAG with Hybrid Search and Reranking with short conversation history awareness, fully OpenSource.
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Jan 27, 2025 - Python
Production-shaped RAG for PDF corpora: contextual retrieval, hybrid dense+sparse search in Qdrant, RRF fusion, reranking, and streaming answers with clickable PDF citations.
react semantic-search pdf-parsing reranking rag fastapi vector-database hybrid-search qdrant llm retrieval-augmented-generation contextual-retrieval
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Aug 19, 2026 - Python
Search local documents to provide private knowledge retrieval for AI agents and teams in under a second.
agents research-and-development ai-agents conversational-ai background-processing rag github-config voice-ai hybrid-search personal-ai azure-openai llm pipecat human-ai-collaboration contextual-retrieval sqlite-vec letta
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Oct 12, 2026
Production-grade agentic Retrieval-as-a-Service (RaaS) microservice built with LangGraph, FastAPI & LangChain. Features Corrective RAG (CRAG) with Pydantic LLM-as-a-Judge, Contextual Retrieval, Single-Database Parent Payloads, Groundedness Self-Correction, Vision OCR, and real-time SSE streaming.
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Sep 24, 2026 - Python
Anthropic's Contextual Retrieval (2024) implemented and measured: LLM-situated chunks vs plain chunks, contextual embeddings + contextual BM25, reproducible recall@5 benchmark on an ambiguity-engineered corpus. Free local Ollama.
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Jul 17, 2026 - Python
Rigorous evaluation of contextual retrieval techniques on FinanceBench: comparing 5 embedders × 4 chunking strategies with bootstrapped confidence intervals on FinMTEB and FinanceBench.
python benchmarking natural-language-processing information-retrieval pytorch embeddings semantic-search rag vector-search huggingface sentence-transformers retrieval-augmented-generation llm-evaluation contextual-retrieval late-chunking finance-nlp financebench finmteb
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May 12, 2026 - Jupyter Notebook
Data and code for AQUA Research TR-007: Does Contextual Retrieval work in Japanese? (Anthropic contextual retrieval vs. structure-aligned chunking vs. LLM reranking on a production Japanese RAG)
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Oct 16, 2026 - JavaScript
Hands-on RAG experiments in a single notebook. Starts with naive semantic search over ChromaDB, then adds BM25 + Reciprocal Rank Fusion, contextual retrieval (LLM-generated chunk context), and cross-encoder reranking. Each stage runs on the same questions over a 17-document corpus with distractors, so you can compare results directly.
python jupyter-notebook semantic-search bm25 reranking rag sentence-transformers hybrid-search cross-encoder llm chromadb retrieval-augmented-generation openrouter reciprocal-rank-fusion contextual-retrieval
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Oct 13, 2026 - Jupyter Notebook
A fully-offline, local-first knowledge engine
rust offline mcp embeddings knowledge-base semantic-search bm25 reranking rag vector-search local-first hybrid-search llm retrieval-augmented-generation lancedb ollama rag-evaluation fastembed contextual-retrieval
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Oct 14, 2026 - Rust
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