samyama-graph logo
samyama-graph
★ 184
vs
deep-research logo
deep-research
★ 4.7k

samyama-graph vs deep-research

samyama-graph: Samyama is a graph-vector database written in Rust. It supports OpenCypher queries, Redis protocol, vector search, and graph algorithms. It can handle billions of edges on a single machine.; deep-research: Deep Research is an AI-powered tool designed to generate comprehensive research reports rapidly, leveraging advanced AI models and internet connectivity. It prioritizes user privacy by processing and storing all data locally.

01

TL;DR

samyama-graph logo
samyama-graphRAG / Knowledge Base · ★ 184

Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.)

deep-research logo
deep-researchRAG / Knowledge Base · ★ 4.7k

Rapidly generate in-depth research reports for personal and professional use.

02

Side-by-Side Comparison

Field
samyama-graph logosamyama-graph
deep-research logodeep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 184
★ 4.7k
License
Apache-2.0
MIT
Install Command
git clone https://github.com/samyama-ai/samyama-graph && cd samyama-graph && cargo build --release
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
1d ago
4mo ago
Open Source
Yes
Yes
Tags
billion-edges, cypher, cypher-query-language
AI Research, LLM, Privacy-focused
03

Features

samyama-graph logosamyama-graph
01OpenCypher queries
02Redis protocol
03Vector search (HNSW)
04Graph algorithms (PageRank, BFS, etc.)
05Natural language queries (NLQ)
deep-research logodeep-research
01Rapidly generates comprehensive research reports in minutes.
02Ensures privacy by processing and storing all data locally in the browser.
03Supports a wide range of mainstream large language models (LLMs).
04Integrates with various web search engines for enhanced information gathering.
05Allows uploading and processing local files to build a knowledge base.
04

Use Cases

samyama-graph logosamyama-graph
↳Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.)
↳Multi-hop graph traversals
↳Cross-knowledge graph aggregation
deep-research logodeep-research
↳Rapidly generate in-depth research reports for personal and professional use.
↳Serve as a deep research as a service (SaaS) platform via SSE API.
↳Integrate deep research functionality into other AI applications using MCP.
FAQ

FAQ

What is the difference between samyama-graph and deep-research?
Both samyama-graph and deep-research are in the RAG / Knowledge Base category. samyama-graph has 184 stars, while deep-research has 4.7k stars.
Which is better, samyama-graph or deep-research?
The best choice depends on your use case. Choose samyama-graph if Biomedical knowledge graphs (PubMed, ClinicalTrials.gov, etc.), and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is samyama-graph free or open source?
Yes, samyama-graph is open source on GitHub (Apache-2.0).
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
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