Improve RAG Search Quality Using Connectors.
Your RAG retrieves 10 documents but the answer is in #7 , Cohere reranking moves it to #1 and accuracy jumps from 68% to 94% without changing a single embedding
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Weaviate retrieves top-20 by embedding similarity. Cohere cross-encoder reranks by true query-document relevance. Document #7 moves to #1. Google Sheets tracks the improvement: 68% 94% top-3 accuracy.
The single highest-ROI upgrade for any RAG system , 15 minutes of integration, 30% accuracy gain.
Connector Orchestration: 3 Connectors, one intelligent agent
Connect Cohere, Weaviate and Google Sheets so your AI agent retrieves candidates from Weaviate, applies Cohere neural reranking to reorder by true relevance, and tracks quality in Sheets with before/after accuracy.
Cohere
enrichmentNeural reranking for true query relevance
rerank embed chat list_models Weaviate
triggerSemantic vector search retrieval
search_near_vector list_objects get_object_details get_full_schema Google Sheets
actionQuality metrics dashboard
create_spreadsheet update_sheet_values append_sheet_values get_sheet_values Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own Connector
Convert any internal API into a Connector. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Cohere, Weaviate & Google Sheets ready in the catalog right now
- Add more from 5,800+ servers whenever you need
- Connections are secured and compliant by default
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added weekly
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 5,800+ Connectors and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across all tools, in one conversation. That's what this connectivity layer was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across all platforms.
Contextual Reasoning
Each decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your Connectors once, and your agent handles the rest. Each time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius AI Connectors to handle these for you. You describe what you need. It does the rest.
AI engineers wanting the single highest-impact RAG accuracy improvement
Builders debugging inconsistent RAG answers with before/after reranking analysis
Startups optimizing RAG quality with A/B data to justify reranking investment
AI enthusiasts learning advanced retrieval with vector search + neural reranking
Frequently Asked Questions About This Connector Orchestration
Which Connectors do I need?
Three: Cohere, Weaviate and Google Sheets.
Does this work with Claude Desktop?
Yes. Any MCP-compatible AI client works.
Can I use this with other vector databases?
Yes. Cohere reranking works with any retrieval source.
Is my data secure?
Connectors authenticate via API keys. Data stays in your accounts.
Find Codebase Duplications Using Connectors
Your codebase has 4 different implementations of date formatting, 3 versions of the retry logic, and 2 competing validation libraries , but nobody knows because grep only finds exact matches and these duplicates are semantic
Connectors for Self-Updating Research Bases
You spend 3 hours reading 40 articles to write one research brief , an AI agent with Firecrawl reads all 40 in 90 seconds, stores them semantically in Weaviate, and writes the brief in Notion with every source linked and every claim verified
Search Your Entire Codebase Using Connectors
Code indexed, patterns detected, architecture documented, onboarding guides generated , build a living knowledge base from your codebase
Benchmark Seed Valuations Using Connectors
Your portfolio valuations compared, market comps pulled, benchmark report built , know if $12M pre-money for a Seed is reasonable before you negotiate
Book Appointments via WhatsApp Using MCP
Your AI agent checks availability, sends time slots via WhatsApp and logs every booking
Build Serverless Data Warehouses Using MCP
You scrape data into CSV files that nobody queries , Firecrawl extracts structured web data, Neon stores it in serverless PostgreSQL you can query with SQL, and Sheets visualizes the results
Connectors used in this workflow
Cohere
Cohere MCP lets your AI agent talk directly to Cohere's models. You can send prompts to Command models, generate embeddings for vector databases, rerank search results, and handle tokenization without writing any custom API code. It's the fastest way to put enterprise-grade NLP into your agent's toolkit.
Weaviate
Weaviate MCP lets you manage your vector database and perform semantic searches directly through your AI client. It connects your Weaviate instance to your agent so you can query data by meaning rather than just keywords. It handles everything from checking cluster health to pulling specific object details or inspecting your full schema.
Google Sheets
Google Sheets MCP lets you read, write, and manage spreadsheet data through your AI agent. Stop wasting time on manual data entry or complex formulas. Just tell your agent to pull specific ranges, add new rows, or create entire new sheets on the fly. It handles the tedious work of keeping your data organized so you can focus on making decisions.