Document Retrieval Collection

◆

◆

◆

◆

🌊Water

★★

“Distributed vector search for AI-native applications”

◆

◆

◆

◆

💎Aqua

★★

“The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.”

◆

◆

◆

◆

🔮Psychic

★★

“Parsing-free RAG supported by VLMs”

◆

◆

◆

◆

⚙️Steel

★

“High performance embedded vector database”

◆

◆

◆

◆

🔮Psychic

★

“Vector search demo with the arXiv paper dataset, RedisVL, HuggingFace, OpenAI, Cohere, FastAPI, React, and Redis.”

◆

◆

◆

◆

🔮Psychic

★

“🐊 Snappy's unique approach unifies vision-language late interaction with structured OCR for region-level knowledge retrieval. Like the project? Drop a star! ⭐”

◆

◆

◆

◆

💎Aqua

★

“KnoLo Core is a local-first knowledge base engine built for small language models (LLMs). It packages your documents into a compact .knolo file and enables fully deterministic querying — no embeddings, no vector databases, no cloud services required. Designed for on-device and edge LLM deployments.”

◆

◆

◆

◆

⚙️Steel

★

“The first database built to let AI agents think their way to the right answer using structural reasoning, rather than guessing based on vector similarity.”