Spykio
Vectordbs show what’s similar. We tell you what’s relevant
Spykio launched on April 24, 2025 with 23 votes, #860 of 7,818 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Spykio: Upgrade your RAG with Knowledge Graphs! 🚀 Smarter than vector search – get truly relevant document results. Understands context & intent for higher accuracy. No chunking needed. Simple API/SDKs (Node, Py). Try Spykio now.
An intelligent retrieval engine that truly understands document context and semantic relationships beyond conventional search methods
Vector search tells you what's similar. We tell you what's relevant. Our advanced contextual understanding technology adapts to the intent of each query, delivering the exact information LLMs need to answer your question. Our technology goes beyond traditional RAG systems, providing more accurate results with less setup and maintenance. Seamlessly process and retrieve documents in multiple languages, with automatic language detection and cross-language search capabilities. Upload and index up to 10,000 documents in your repository with high-speed processing and optimized storage. When you create a container on your dashboard you can instantly share a chatbot with the knowledge in your…from spyk.io
Does a similar job
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HelixDB – Open-source vector-graph database for AI applications (Rust)2025 · github.com · ▲237Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
- CHCozoDB, Hybrid Relational-Graph-Vector Database2023 · docs.cozodb.org · ▲137
Hi HN! We're thrilled to share CozoDB v0.6, a monumental update to our FOSS database, which already unifies relational and graph features. With the addition of vector search, CozoDB becomes an even better companion for LLMs like ChatGPT. This release introduces vector search using HNSW indices within Datalog, enabling seamless integration with powerful features such as ad-hoc joins, recursive Datalog, and classical whole-graph algorithms. This update significantly broadens CozoDB's capabilities. Check out the linked release note for an in-depth look at the new features, comparisons to other…
- DUDocAsker – Use LLMs to ask documentation questions2023 · docasker.com · ▲97
We've built this over the last few weeks to leverage vector search and LLMs (this is backed by GPT-3.5, though we're also testing Flan-T5) to answer question over large sets of documents with references. Currently, we've ingested the documentation for React and some key adjacent libraries (Redux, React-Redux, React-Router, MUI). This allows you to ask various natural language questions and the output is hopefully a relevant answer with code examples if applicable, while sourcing the original docs whenever possible. We're working on adding up more documentations and have more "general"…
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