Give Your Agents
Long-Term Memory
Upload documents, paste text, or let agents store knowledge themselves. Everything becomes searchable via semantic search. No vector databases or embedding pipelines to configure.
Auto-extracted
Images
OCR included
Semantic
Search built-in
"Full refunds are available within 30 days of purchase. Contact support with your order number..."
See the difference knowledge makes
Same agent, same question. One has access to your documentation.
Support Agent
No knowledge base connected
You
What's our refund policy for enterprise customers?
Agent
✗ Generic response, no company-specific information
Any content, instantly searchable
Drop in your files or paste text. We handle extraction, chunking, and embedding automatically.
Your content
Images
.png, .jpg
Text
.txt, .md
Paste
any text
Automatic processing
Extract
PDF parsing, OCR
Chunk
Smart splitting
Embed
Vector embeddings
Semantic search
No vector databases to configure. No embedding models to choose. It just works.
Use query_knowledge in your agents
Real teams, real results
Upload once, your agents remember forever.
Sarah, Support Lead uploads the help center articles
→ Customer support agent now answers refund questions with exact policy quotes
"How do I request a refund?"
Based on our refund policy: You can request a full refund within 30 days by contacting support@...
Marcus, Product Manager adds the product specifications
→ Sales agent knows every feature, limit, and comparison point instantly
"What's the storage limit on Pro plan?"
The Pro plan includes 500GB storage, compared to 50GB on Starter. Enterprise has unlimited...
Lisa, Team Lead stores weekly meeting notes
→ Assistant recalls decisions from months ago and tracks action items
"What did we decide about the Q2 launch?"
In the March 15th meeting, the team decided to push Q2 launch to April 20th due to...
Also great for: Technical documentation • Research papers • Training materials • Legal documents • And more
Start uploading your knowledgeManage knowledge from the dashboard
Upload files, browse entries, test queries, and organize with namespaces. All in one place.
Knowledge Base
Store and query documents for AI-powered retrieval
24
156
3
| Entry ID | Type | Chunks | Namespace | Created | |
|---|---|---|---|---|---|
company-policies.pdf | 12 | policies | Dec 4, 10:23 | ||
product-faq.txt | text | 8 | support | Dec 3, 15:47 | |
pricing-table.png | image | 1 | products | Dec 2, 09:12 | |
user-guide-v2.pdf | 24 | support | Dec 1, 14:30 |
Building RAG yourself
Traditional RAG requires choosing databases, tuning embeddings, writing pipelines, and endless debugging.
With Connic Knowledge
Upload your content and start querying. Any engineer can give agents knowledge in minutes.
No ML expertise required
You don't need to understand vector similarity, embedding dimensions, or chunk overlap ratios. Upload your docs, query with natural language. We've handled the hard parts.
Your agents get knowledge. Your engineers stay focused on features.