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”).
-
Updated
Sep 29, 2024 - Python
#
contextual-retrieval
Here are 17 public repositories matching this topic...
Contextual RAG over webinar videos using Pinecone, Claude and AWS.
-
Updated
Apr 10, 2025 - 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
-
Updated
Nov 22, 2024 - Python
It is a case study of an intelligent agent for Ocean.
-
Updated
Jan 22, 2026 - Python
Enhance your RAG with Contextual Retrieval
-
Updated
Sep 30, 2024 - Python
Shared knowledge layer for human-agent teams. Agents search, classify, and manage knowledge alongside your team.
knowledge-base obsidian ai-agents rag vector-search hybrid-search azure-openai human-ai-collaboration contextual-retrieval sqlite-vec
-
Updated
May 23, 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.
-
Updated
Dec 4, 2024 - Python
PDF → Mistral OCR → deterministic AST chunker with Anthropic contextual retrieval for RAG pipelines
-
Updated
Mar 16, 2026 - TypeScript
Chatbot based on Contextual RAG with Hybrid Search and Reranking with short conversation history awareness, fully OpenSource.
-
Updated
Jan 27, 2025 - Python
A fully local, zero-cost RAG system with contextual retrieval. No API fees, complete privacy, works offline. Powered by Ollama + Mistral.
-
Updated
Dec 4, 2025 - Python
A LangChain-powered application that parses PDF resumes, converts them into semantic chunks using FAISS, and enables intelligent querying via RAG and Anthropic models. Designed to assist in resume screening through contextual and multi-query retrieval.
resume-parser semantic-search rag llm generative-ai anthropic langchain-python faiss-vector-database contextual-retrieval
-
Updated
Aug 13, 2025 - Python
Self-correcting RAG pipeline built with LangGraph and contextual retrieval. Query rewriting, hybrid retrieval, Cohere reranking, and grounded self-check with retry loops.
python re-ranking claude cohere rag ai-engineering llm langchain anthropic chromadb langgraph contextual-retrieval
-
Updated
May 12, 2026 - Python
Slack Q&A bot template — ingests Slack threads + markdown docs into Pinecone, then an n8n workflow retrieves, re-ranks on metadata, and posts answers back in-thread. Includes contextual retrieval and an eval harness.
starter-template openai slack-bot knowledge-base pinecone rag n8n vector-database llm retrieval-augmented-generation llamaparse contextual-retrieval chatbot-template eval-harness
-
Updated
May 22, 2026 - Python
A powerful toolkit for text chunking and semantic search using OpenSearch. This toolkit provides various text chunking strategies and embedding capabilities for efficient document retrieval.
-
Updated
Dec 30, 2024 - 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
-
Updated
May 12, 2026 - Jupyter Notebook
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
-
Updated
May 22, 2026
Improve this page
Add a description, image, and links to the contextual-retrieval topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the contextual-retrieval topic, visit your repo's landing page and select "manage topics."