GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
vectorsearchHere are 51 public repositories matching this topic...Language: All
Filter by language
Sort: Most stars
Sort options
HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.
rust cli database ai vector databases rust-lang graph-database helix rust-crate rag vector-database vectorsearch vector-db helixdb
High-performance vector similarity library in Rust with Python bindings: Spearman, Kendall, distance correlation, Jensen-Shannon, Hoeffding's D, and bootstrapped confidence intervals
State-of-the-art CLIP/SigLIP embedding models finetuned for the fashion domain. +57% increase in evaluation metrics vs FashionCLIP 2.0.
search transformers embeddings clip informationretrieval multimodal recomendations fashion-classifier vision-transformer vectorsearch fashionclip
Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service
EduAgent is an AI-driven educational platform leveraging LangGraph agents and RAG to convert static documents into dynamic, personalized tutoring environments. The system utilizes principles of active recall to automatically generate adaptive study plans, interactive quizzes, flashcards, and semantic mind maps from course materials.
Question-Answering App Over Your Own Data with LLamaindex and ElasticSearch !
nlp embeddings question-answering chunking nlp-machine-learning semanticsegmentation semanticsearch rag large-language-models llm vectorsearch
🔎 A vector based image search engine using Visual Transformer model type.
Memory Management Service, a Long Term Memory Solution for AI
Compare embedding models locally with LM Studio — cosine similarity UI for RAG workflows
Simple and pure Julia-based implementation of ChatGPT retrieval plugin logic
High-level ElasticSearch client for Julia
DocuMentor is a sophisticated chatbot application designed to assist users in extracting valuable information from uploaded PDF documents. Users can upload PDF files, chat with the AI chatbot to ask questions or seek information related to the document, and receive well-informed responses.
Hybrid Search demo on Movies Dataset using Couchbase with Native Python SDK & LangChain Vector Store integration & Streamlit
How to use configure haystack to use weaviate
Q&A Chatbot Demo using Couchbase, LangChain, OpenAI and Streamlit
Agentic RAG over financial news. Hybrid retrieval (pgvector + Postgres full-text, fused with Reciprocal Rank Fusion), LLM reranking, and an eval harness with baseline ablation, no-answer detection, and LLM-as-judge scoring. Celery · Redis · Postgres · Gemini · Docker
python docker redis information-retrieval postgresql gemini celery rag streamlit hybrid-search llm vectorsearch pgvector agentic-ai retreival-augmented-generation
The course provides a comprehensive guide to optimizing retrieval systems in large-scale RAG applications. It covers tokenization, vector quantization, and search optimization techniques to enhance search quality, reduce memory usage, and balance performance in vector search systems.
data-science machine-learning natural-language-processing machinelearning search-algorithm tokenization rag hnsw search-optimization vectorquantization vectorsearch retrieval-augmented-generation rag-systems retrievaloptimization ragsystems embeddingmodels searchoptimization
Knowledge graph plugin for Claude Code - map your codebase into layered, navigable neural nodes
sqlite devtools astro svd lsp semanticsearch knowledgegraph treesitter vectorsearch aiagents codeintelligence claude-code claude-code-plugin
DocQuery: RAG-Based Intelligent Document Retrieval Assistant (CS50x Final Project)
python nlp flask machinelearning cs50 cs50x tfidf harvard harvardx computerscience textsearch naturallanguageprocessing harvardcs50 rag harvard-cs50 harvardcs50x vectorsearch generativeai retrievalaugmentedgeneration
The Project "Vector Search RAG" utilises advanced frameworks and language models (LangChain and OpenAI APIs) to enhance query responses by retrieving relevant documents and generating contextually accurate answers. This repo contains End-to-End implementation of RAG for training LLMs in custom data.
Add this topic to your repoTo associate your repository with the vectorsearch topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |