Uptrain

We're thrilled to introduce the latest updates and enhancements in this release! 🌟

- New MongoDB Operator lets you integrate with your MongDB Database!
- Improved Conversation Evaluation Tutorial

We're thrilled to introduce the latest updates and enhancements in this release! 🌟

🆕 New Features and Improvements:

We now support multi-turn dialog conversation evaluations. Check out [ConversationSatisfaction Eval](https://github.com/uptrain-ai/uptrain/blob/conversation_check/examples/evaluate_conversation_tutorial.ipynb) which assesses if the user is satisfied with the chatbot responses or not. More evals to come in upcoming releases.

Bring your embedding model. You can now call your custom embedding model via an API call inside UpTrain. See the code [here](https://github.com/uptrain-ai/uptrain/blob/main/uptrain/operators/language/embedding.py).

Llama Index Integration: UpTrain now integrates with Llama Index. We introduce EvalLlamaIndex which allows you to run your LLM pipeline via LlamaIndex and evaluate the responses seamlessly with UpTrain. Checkout the tutorial [here](https://github.com/uptrain-ai/uptrain/blob/main/examples/llamaindex_integration_tutorial.ipynb)

We're committed to making your experience with our platform even better. Thank you for your continued support and feedback! 🙌
For more details and bug fixes, please refer to the full release documentation. Feel free to reach out to us with any questions or feedback. 📧💬

Happy evaluating! 🧪🔬🚀

We're thrilled to introduce the latest updates and enhancements in this release! 🌟

🆕 New Features and Improvements:

1. We now support multi-turn dialog conversation evaluations. Check out [ConversationSatisfaction Eval](https://github.com/uptrain-ai/uptrain/blob/conversation_check/examples/evaluate_conversation_tutorial.ipynb) which assesses if the user is satisfied with the chatbot responses or not. More evals to come in upcoming releases.

2. Bring your embedding model. You can now call your custom embedding model via an API call inside UpTrain. See the code [here](https://github.com/uptrain-ai/uptrain/blob/main/uptrain/operators/language/embedding.py).

3. Llama Index Integration: UpTrain now integrates with Llama Index. We introduce EvalLlamaIndex which allows you to run your LLM pipeline via LlamaIndex and evaluate the responses seamlessly with UpTrain. Checkout the tutorial [here](https://github.com/uptrain-ai/uptrain/blob/main/examples/llamaindex_integration_tutorial.ipynb)

We're committed to making your experience with our platform even better. Thank you for your continued support and feedback! 🙌
For more details and bug fixes, please refer to the full release documentation. Feel free to reach out to us with any questions or feedback. 📧💬

Happy evaluating! 🧪🔬🚀

Increase timeout while running evaluations on server

Fixes issues with Python dependencies

We're thrilled to introduce the latest updates and enhancements in this release! 🌟

🆕 New Features and Improvements:

1. We added a new check called Response Matching to quantify the similarity between LLM-generated response and ground truth response. We support three modes:
a. Exact Match
b. Words Overlap
c. LLM-based match
2. Thrilled to announce the beta release of topic clustering where we automatically cluster your input queries and assign topics to them. We are building advanced features to give insights on which topics the model is under-performing - stay tuned1
3. Fix issues with the guideline adherence check