| Name | Version | Summary | date |
| embcli-jina |
0.1.3 |
jina plugin for embcli |
2025-08-02 06:47:45 |
| embcli-gemini |
0.1.1 |
gemini plugin for embcli |
2025-08-02 05:47:00 |
| mem0-embeddings-litellm-patch |
1.0.9 |
Almost all known embedding model providers available via litellm patch |
2025-08-02 03:09:34 |
| langchain-zunno |
0.1.4 |
LangChain integration for Zunno LLM and Embeddings |
2025-08-01 07:23:44 |
| rotary-spatial-embeddings |
2025.7.31.1948 |
PyTorch implementation of Rotary Spatial Embeddings |
2025-07-31 20:00:53 |
| cortex-memory-sdk |
2.0.3 |
🧠The Smart Context Layer for Prompt Chains in LLMs - Enterprise-grade context-aware AI system with semantic understanding and self-evolving memory. Built by Vaishakh Vipin (https://github.com/VaishakhVipin) - Advanced context management for LLMs with Redis-backed semantic search, self-evolving patterns, and multi-provider support (Gemini, Claude, OpenAI). |
2025-07-30 17:35:16 |
| vectorwrap |
0.4.0 |
Universal vector search wrapper for Postgres, MySQL, SQLite, DuckDB (pgvector, HeatWave, sqlite-vss, DuckDB VSS) |
2025-07-30 03:27:16 |
| localgenius |
0.10.0 |
A personal MCP server that acts as a RAG source for your LLM |
2025-07-29 18:36:50 |
| qdrant-loader |
0.5.1 |
A tool for collecting and vectorizing technical content from multiple sources and storing it in a QDrant vector database. |
2025-07-29 06:41:31 |
| qdrant-loader-mcp-server |
0.5.1 |
A Model Context Protocol (MCP) server that provides RAG capabilities to Cursor using Qdrant. |
2025-07-29 06:41:14 |
| leann |
0.1.16 |
LEANN - The smallest vector index in the world. RAG Everything with LEANN! |
2025-07-29 00:32:37 |
| thoth-vdbmanager |
0.2.21 |
A vector database management module for ThothAI Project |
2025-07-28 21:40:28 |
| kontext-mcp |
0.1.0 |
Portable, provider-agnostic memory on top of Azure Data Explorer (Kusto) |
2025-07-28 16:50:29 |
| langchain-llm-config |
0.1.6 |
A comprehensive LLM configuration package supporting multiple providers (OpenAI, VLLM, Gemini, Infinity) for chat assistants and embeddings |
2025-07-28 03:29:10 |
| rushdb |
1.10.0 |
RushDB Python SDK |
2025-07-27 12:13:16 |
| embcli-chroma |
0.1.0 |
ChromaDB integration for embcli |
2025-07-27 08:48:00 |
| embcli-core |
0.1.2 |
embcli - CLI for Embeddings |
2025-07-27 08:33:11 |
| wdoc |
3.3.1 |
A perfect AI powered RAG for document query and summary. Supports ~all LLM and ~all filetypes (url, pdf, epub, youtube (incl playlist), audio, anki, md, docx, pptx, oe any combination!) |
2025-07-26 08:24:30 |
| hanzo-memory |
1.0.0 |
AI memory service with FastAPI and MCP support |
2025-07-26 00:12:18 |
| chem-mrl |
0.7.1 |
SMILES-based Matryoshka Representation Learning Embedding Model |
2025-07-24 01:48:34 |