Open-source search and retrieval database for AI applications.
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Dec 6, 2025 - Rust
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document-retrieval
Here are 100 public repositories matching this topic...
Distributed vector search for AI-native applications
embeddings cloud-native vectors document-retrieval rag vector-search vector-database hybrid-search ai-native retrieval-augmented-generation ai-native-database
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Dec 1, 2025 - Go
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
ai embeddings database-management chroma document-retrieval ai-agents pinecone weaviate vector-search vectorspace vector-database qdrant llms langchain aitools vector-data-management langchain-js vector-database-embedding vectordatabase flowise
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Apr 15, 2025 - TypeScript
Parsing-free RAG supported by VLMs
retrieval multi-modal document-retrieval rag multi-modality document-understanding vision-language-model retrieval-augmented-generation
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Nov 18, 2025 - Python
Vector search demo with the arXiv paper dataset, RedisVL, HuggingFace, OpenAI, Cohere, FastAPI, React, and Redis.
react nlp redis machine-learning openai arxiv document-retrieval cohere document-search vector-search huggingface vector-database arxiv-papers
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Apr 15, 2025 - Python
🐊 Snappy's unique approach unifies vision-language late interaction with structured OCR for region-level knowledge retrieval. Like the project? Drop a star! ⭐
python docker typescript computer-vision nextjs minio document-retrieval rag fastapi vector-search document-understanding pdf-search vector-database vision-ai qdrant colpali multimodal-ai multivector-search deepseek-ocr visual-retrieval
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Dec 5, 2025 - Python
Vietnamese long form question answering system with documents retrieval.
nlp qa vietnamese instructions question-answering document-retrieval vietnamese-nlp dpr sentence-similarity sentence-embeddings sentence-transformers lfqa instruction-tune
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Mar 28, 2024 - Python
[VLSP 2025] ViDRILL is a Vietnamese document retrieval system for VLSP 2025. It combines dense and sparse retrieval, reranking, and optional LLM-based query rewriting and reasoning to support high-accuracy information retrieval and future LLM-enhanced pipelines.
information-retrieval reinforcement-learning query-rewriting document-retrieval vietnamese-nlp reranking vlsp-2025
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Aug 16, 2025 - Python
Implementation of ECIR 2022 Paper: How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation
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Sep 19, 2022 - Python
Retrieves the top 10 documents from the Wikipedia corpus for a user inputted free-text query
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Nov 24, 2020 - Python
Document Querying with LLMs - Google PaLM API: Semantic Search With LLM Embeddings
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Dec 14, 2023 - Python
Run text embeddings with Instructor-Large on AWS Lambda.
aws lambda machine-learning aws-lambda serverless embeddings document-retrieval vector-database llms
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Jul 8, 2023 - Shell
We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.
machine-learning natural-language-processing information-retrieval deep-learning word-embeddings pytorch transformer transfer-learning representation-learning language-model attention-mechanism document-retrieval natural-language-understanding document-embedding sentence-embeddings
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Jul 25, 2023 - Jupyter Notebook
Built prediction and retrieval models for document retrieval, image retrieval, house price prediction, song recommendation, and analyzed sentiments using machine learning algorithms in Python
python machine-learning deep-learning clustering jupyter-notebook ipython-notebook coursera similarity supervised-learning logistic-regression image-classifier transfer-learning predictive-analytics university-of-washington image-retrieval document-retrieval graphlab-create knn-classification nearest-neighbours-classifier deep-features
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Jan 20, 2018 - Jupyter Notebook
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Nov 30, 2018 - Jupyter Notebook
This project is a Document Retrieval application that utilizes Retrieval-Augmented Generation (RAG) techniques to enable users to interact with uploaded PDF documents. By leveraging a Large Language Model (LLM), users can ask questions about the content of the documents and receive accurate answers based on the information retrieved.
python chat-application document-retrieval rag fastapi huggingface large-language-models llm retrieval-augmented-generation
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Oct 20, 2024 - Jupyter Notebook
The Intelligent "ASKDOC" project combines the power of Langchain, Azure, OpenAI models, and Python to deliver an intelligent question-answering system, that scans your PDF documents and answer queries based on its contents. It can be queried using Human Natural Language.
natural-language-processing chatbot python3 artificial-intelligence document-retrieval natural-language-understanding faiss azure-openai langchain azure-openai-api langchain-python pdf-document-query
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Feb 4, 2024 - Python
A Python-based tool for context-based search across text documents using OpenAI embeddings and Chroma vector storage. This system enables efficient querying of document collections by generating vector embeddings, storing them persistently, and retrieving relevant results based on textual queries.
python nlp machine-learning embeddings openai document-retrieval contextual-search vector-database langchain chromadb
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Oct 11, 2024 - Python
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