cs_token = <your cogniswitch platform token>
OAI_token =
Section titled “OAI_token = ”oauth_token =
Section titled “oauth_token = ”### Instantiate the Query Engine
```pythonquery_engine = CogniswitchQueryEngine( cs_token=cs_token, OAI_token=OAI_token, apiKey=oauth_token)Use the query_engine to chat with your knowledge
Section titled “Use the query_engine to chat with your knowledge”answer_response = query_engine.query_knowledge("tell me about cogniswitch")print(answer_response)CogniSwitch is a platform that offers a range of features to users. It helps users organize, explore, and manage data in an intuitive way. The platform visualizes complex ideas, simplifies them, and fine-tunes knowledge. Users can also consume knowledge on-demand through the CogniSwitch API. Furthermore, CogniSwitch provides data storage management capabilities.Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
- Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md
- Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters.
- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/