Sycamore alternatives for AI agents.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Framework for enhancing LLMs for RAG tasks using fine-tuning.

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

The open document intelligence platform for builders and hackers - DMS for the agentic world

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

MTEB: Massive Text Embedding Benchmark

Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.

Optimized LLM-Powered Data Processing: up to 1000x speedups with fast, accurate query processing, that's as simple as writing Pandas code

21 Lessons, Get Started Building with Generative AI

Superduper: End-to-end framework for building custom AI applications and agents.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.