Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
- neural-network
- search-engine
- knn-algorithm
- hnsw
Repository Index
47,133 repositories indexed
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A vector index built on TurboQuant, written in Rust with Python bindings
- ann
- avx512
- embeddings
- faiss
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
- embeddings
- go
- golang
- llm
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
- bolt
- cypher
- database
- enterprise-solutions
A Modern C++ Data Sciences Toolkit
- nlp
- nlp-parsing
- search-engine
- inverted-index
Official library for RaBitQ vector quantization and approximate nearest-neighbor search, in C++ and Python.
- nearest-neighbor-search
- quantization
- vector-database
- vector-search
One local, searchable index of your AI coding-agent history Claude Code, Codex, Cursor, Gemini & more. Keyword + semantic search, MCP server, CLI & VS Code extension.
Local-first operating memory for AI coding agents - Claude Code, Codex, and any MCP client. Tracks decisions and their evolution. SQLite + on-device embeddings, no cloud.
- claude-code
- claude-code-plugins
- decision-tracking
- embeddings