A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
A 7-layer memory operating system for Hermes Agent β persistent memory with Qdrant, structured facts, fabric recall, auto-curated wiki, and surgical context injection. Runs locally, any LLM provider.
Python client for Qdrant vector search engine
Long-term memory for AI assistants. Graph + vector store that recalls decisions, relationships, and context across sessions.
Blazing fast framework for fine-tuning similarity learning models
An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing
Ontology-Augmented Generation for AI agents.
Drop-in AI memory layer with 2x faster retrieval and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code changes. Self-host for free.
End-to-end retail analytics and recommendation platform using PySpark, Kafka, PostgreSQL, Power BI, PyTorch Two-Tower, Qdrant, FastAPI, Docker and Azure.
Zero downtime embedding upgrades
Cross-border commerce Agent prototype with retrieval, order tools, persistent memory, and observable execution