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#

context-retrieval

Here are 18 public repositories matching this topic...

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

  • UpdatedFeb 14, 2026
  • Python

A structural code search engine for Al agents.

  • UpdatedFeb 4, 2026
  • TypeScript

Deterministic context database for AI agents. Same query → same context, every time.

  • UpdatedDec 10, 2025
  • Rust

A modular Python-based search engine pipeline that fetches live web data, extracts both visible and hidden context using advanced NLP techniques, and semantically indexes content for enhanced retrieval. Perfect for powering LLMs and AI agents with up-to-date, relevant context.

  • UpdatedFeb 26, 2025
  • Python

Customer support chatbot for construction & home materials companies. Full-stack solution using LangChain + OpenAI LLM to provide context-driven responses from product catalogs. Flask backend, React frontend with chat history integration.

  • UpdatedMay 20, 2025
  • Python

A lightweight document-aware chatbot that can answer questions from PDF, DOCX, or text files using Sentence-Transformer embeddings for context retrieval, LLM models (OpenAI and Ollama here) for answer generation and Gradio chatbot UI for interaction

  • UpdatedDec 2, 2025
  • Python

Examples of RAG (Retrieval-Augmented Generation) with Ethora, LangChain, and OpenAI. Build knowledge-based AI assistants fast. Powered by Ethora Chat Component.

  • UpdatedOct 29, 2025
  • Python

SEARCHD enhances the existing information retrieval mechanism and reduces the latency of LLM-based retrievers. This framework generates a partially correct document using a LLM which is clubbed along with the original query for context retrieval.

  • UpdatedNov 14, 2024
  • Jupyter Notebook

MCP server for semantic code search and codebase analysis — AST parsing, Tree-sitter, embeddings and vector search for AI assistants and LLMs

  • UpdatedFeb 9, 2026
  • TypeScript

Repository containing the projects of the EPFL course "Modern natural language processing".

  • UpdatedSep 23, 2023
  • Jupyter Notebook

Local LLM agent Framework for building context-aware assistants with RAG, tool use, and database integration.

  • UpdatedOct 14, 2025
  • Python

Store millions of text chunks inside ultra-compact MP4 files, index them with local embeddings, and retrieve answers instantly for fully offline RAG with any LLM.

  • UpdatedJul 2, 2025
  • Python

Agentic Search using multiple enterprise nature data sources

  • UpdatedDec 11, 2025
  • Python

🔍 Build durable software that requires minimal maintenance by focusing on essential questions and user-centric design.

  • UpdatedFeb 20, 2026

🤖 Create an interactive chatbot that answers questions from documents using OpenAI and Ollama, with a user-friendly Gradio interface.

  • UpdatedFeb 20, 2026
  • Python

FastAPI backend for AI-powered PDF context search and Q&A. Ingest any PDF, index with semantic embeddings, and answer queries via LLM-powered RAG pipeline.

  • UpdatedAug 18, 2025
  • Jupyter Notebook

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