Knowledge Base / Search & Explore
Search & Explore
Three ways to interact with your knowledge base: the Explorer for visual browsing, Aniya for conversational AI, and AI tool integrations for search directly inside Claude Code, Cursor, and other development tools.
Access Methods
Three ways to search your knowledge
Choose the right interface for your workflow. Visual exploration, conversational search, and AI tool integrations all query the same underlying knowledge base.
Browse your data visually in the Telara dashboard. Click to expand, filter by source, and discover connections you did not know existed.
Ask questions about your data in natural language. Get answers grounded in your actual code, tickets, messages, and documentation.
Search your Telara knowledge base directly inside Claude Code, Cursor, or other AI-powered development tools.
Visual Interface
Explorer
The Explorer provides an interactive, visual view of your knowledge base. Browse your data as a graph, discover clusters of related work, and click into any item for full details.
Start from a high-level overview and click to expand. Every node represents something searchable -- a code file, a Jira ticket, a Slack thread, a Confluence page. Every line between nodes is a real connection discovered during indexing.
Filter the graph to show data from specific integrations. Focus on just your GitHub repositories, just your Jira projects, or any combination. Filters apply in real time without reloading the graph.
Interactive graph layout. Click any node to expand its connections. Double-click to open full details. Drag to rearrange. Zoom and pan to navigate large graphs.
Start from the most recently indexed or updated items. See what changed across your integrations today.
Jump to the most connected items in your knowledge base. These are the central pieces of your codebase and operations.
Discover groups of related items organized by theme. Authentication, payments, infrastructure -- see how topics connect.
Upload documents directly from the Explorer for instant indexing. Drop in a PDF, markdown file, or text document and it becomes searchable immediately -- no integration setup required.
Conversational Interface
Aniya
Aniya is Telara's AI assistant -- a conversational interface to your entire knowledge base. Ask questions in natural language and get answers grounded in your actual code, tickets, messages, and documentation.
Think of Aniya as your organization's collective memory, accessible through conversation.
AI Tool Integrations
Search from your AI tools
Search your Telara knowledge base directly inside Claude Code, Cursor, or other AI-powered development tools. Four search capabilities are available, and they are the same ones that power the Explorer and Aniya.
All searches are read-only by design. They find, browse, and retrieve -- they never modify your data.
Search across all your indexed data by meaning. Ask questions in natural language and get results ranked by relevance, not just keyword matches. Filter by integration type, content type, or theme.
Ranked results with content snippets, relevance scores, and links to the original source
"authentication middleware implementation"
Start from any item in your knowledge base and explore its connections. Browse related code files, tickets, messages, and documents to understand how things connect across your tools.
Connected items with their relationship types and context
"Given a function, find all files that import it"
Get the full picture for any item in your knowledge base. See the item itself plus its most relevant related items. Optionally focus on a specific question to rank related items by what matters most to you.
Full item details with related items, connections, and surrounding context
"Get context for a Jira ticket, including linked PRs and Slack discussions"
Read actual source files from your repositories. Get the full source code without needing to clone entire repos. Use when you need the complete implementation, not just a search summary.
Full file content as indexed from your repository
"Read the full implementation of a function found via search"
Setup
Setting up AI tool integrations
Connect your AI development tools to Telara so you can search your knowledge base directly from your editor or terminal.
See the Configuration docs for full setup instructions including API key generation and tool configuration examples.
Practical Scenarios
Use cases
Real workflows that combine search, connection browsing, and source reading to solve everyday engineering and operations problems.
- Search for the error message across all indexed data
- Browse connections from matching code to related services and dependencies
- Read the actual source code of the affected functions
- Find related incidents and past discussions about similar failures
- Open the Explorer and browse the knowledge base for the project
- Discover key components by navigating the most connected items
- Read auto-generated descriptions to understand what each component does
- Find related documentation, tickets, and team discussions
- Search for a concept or feature across the organization
- Find code, tickets, and discussions from multiple teams
- Browse connections to understand the full context across team boundaries
- Share conversation links from Aniya with teammates
- Start from the incident in your knowledge base
- Trace connections to the root cause -- code changes, configuration diffs, deployments
- Find related code changes made in the same time window
- Discover similar past incidents to identify recurring patterns
Recommendations
Best practices
Get the most out of your knowledge base by using the right tool for each situation and combining them for deep research.
Use the Explorer when you do not know where to start. The visual graph helps you discover connections and patterns that are hard to find through search alone. Key nodes and theme clusters are particularly useful entry points.
Use Aniya when you have a specific question about your organization's work. It excels at synthesizing information from multiple sources into a coherent answer. Great for questions that span code, tickets, and discussions.
Use AI tool integrations when you need search access directly in your development environment. Ideal for integrating knowledge into your workflow inside your IDE or terminal.
Start with a semantic search to find what you are looking for, use connected search to explore relationships, get enriched context for comprehensive detail, and read source files when you need the actual code.