Open-source search and retrieval database for AI applications.
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Oct 16, 2025 - Rust
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document-retrieval
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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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Oct 15, 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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Oct 14, 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
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
Code and dataset for the paper "Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness"
information-retrieval digital-library document-retrieval keyphrase-generation absent-keyphrases retrieval-effectiveness
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Sep 13, 2021 - Python
Compilation of Information Retrieval codes.
information-retrieval naive-bayes inverted-index tf-idf evaluation-metrics kmeans-clustering document-retrieval knn-classification relevance-feedback tf-idf-vectorizer pr-curve postional-index
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Jul 14, 2020 - Jupyter Notebook
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