philippgille/chromem-go
quality grade B, 67 out of 100Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
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Storage and retrieval for embeddings: vector indexes, hybrid search and ANN libraries.
Signals: vector-database, vector-search, vector-store, similarity-search, approximate-nearest-neighbor, ann-search, faiss, hnsw
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Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Vector search engine inside Milvus, integrating FAISS, HNSW, DiskANN.
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
mlpack: a fast, header-only C++ machine learning library
C# .NET NOSQL ( key value, object store embedded TextSearch SemanticSearch Vector layer ) ACID multi-paradigm database management system.
MCP server for searching and retrieving Scientific Agent Skills using vector search
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
📝Awesome and classical image retrieval papers
local-first semantic code search engine
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness
A curated list of awesome works related to high dimensional structure/vector search & database
Framework for benchmarking vector search engines
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
The visual communication layer between humans and AI agents. Capture, annotate, render diagrams, and organize with AI — powered by Electron and Ollama. macOS & Linux.
[CoRL25] GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data
FloTorch is an open-source tool for optimizing Generative AI workloads on AWS. It automates RAG proof-of-concept development with features like hyperparameter tuning, vector database optimization, and LLM integration. FloTorch streamlines experimentation, ensures security, and accelerates production with cost-efficient, validated workflows.
Cosdata: A cutting-edge AI data platform for next-gen search pipelines. Features semantic search, hybrid capabilities, real-time scalability, and ML integration. Designed for immutability and version control to enhance AI projects.
Picky is an easy to use and fast Ruby semantic search engine that helps your users find what they are looking for.
Local semantic search. Stupidly simple.
基于向量数据库与GPT3.5的通用本地知识库方案(A universal local knowledge base solution based on vector database and GPT3.5)
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