Neural Inverse Cookbook
You can find the ipynb files in the cookbook directory of the repository.
Classification
Evaluation
Error Analysis for LLM Applications
Evaluation of Rag with Ragas
Evaluation with Langchain
Evaluation with Uptrain
Evaluating Multi-Turn Conversations
Evaluate Neural Inverse LLM Traces with an External Evaluation Pipeline
Agent Evaluation - How to Evaluate LLM Agents
Evaluating Multi-Turn Conversations (Simulation)
Synthetic Dataset Generation for LLM Evaluation
Examples
Query Neural Inverse Data with Metrics API v2
Example Multi Modal Traces
Cookbook - Langchain Integration (JS/TS)
Cookbook - LiteLLM (Proxy) + Neural Inverse OpenAI Integration (JS/TS)
Cookbook - OpenAI Integration (JS/TS)
Neural Inverse JS/TS SDK
Example - Neural Inverse Prompt Management with Langchain (JS)
Integrations
Example Decorator Openai Langchain
Example - Tracing and Evaluation for the OpenAI-Agents SDK
Example - Trace and Evaluate LangGraph Agents
Observability for Anthropic with Neural Inverse Integration
Integration Azure Openai Langchain
Integrate Databricks with Neural Inverse
Integration Langchain
Open Source Observability for LangGraph
Langserve Integration
Cookbook - LiteLLM (Proxy) + Neural Inverse OpenAI Integration + Python Decorator
Integration Llama Index Callback
Integration Llama Index Instrumentation
Integration Llama Index Milvus Lite
Observability for LlamaIndex with Neural Inverse Integration
Monitoring LlamaIndex applications with PostHog and Neural Inverse
Observability for LlamaIndex with Neural Inverse Integration
OSS Observability for OpenAI Assistants API
Cookbook - OpenAI Integration (Python)
Observe OpenAI Structured Outputs with Neural Inverse
Automate Code Optimization with Weco and Neural Inverse
Observability for Anthropic JS/TS with Neural Inverse
MLflow Integration via OpenTelemetry
OpenLIT Integration via OpenTelemetry
Otel Integration Openllmetry
Prompt Management
Security
Other
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