Llm to generate mongodb query. MongoDB query with OpenAI function calling.

Llm to generate mongodb query Embeddings. We will mock up the verification step to keep the example simple. In an era where data-driven decision-making is paramount, the ability to efficiently query and This paper present an novel concept to query MongoDB database using NLP and Large Language Model (LLM). This project provides a Streamlit web application that allows users to upload CSV files, generate MongoDB queries using LLM (Language Learning Model), and save query results. find({}), for quick data access. Step 3: Modify or confirm the query and click "Execute Query" to run it against your MongoDB database. Instant MongoDB Query Generation Rapidly create accurate MongoDB queries, like db. Initialization: The MongoDBManager class is initialized with the MongoDB connection string. It also accepts optional parameters to control the generation process, such as num_beams, max_length, repetition_penalty, length_penalty, early_stopping, top_p, top_k, and num_return_sequences. Querying with natural language can be a helpful starting point and assist you in learning to write MongoDB queries. This Python project demonstrates semantic search using MongoDB and two different LLM frameworks: LangChain and LlamaIndex. Use custom function tool to verify that the generated query is accurate. Alternatively, you can enable natural language querying by clicking the Log in to Atlas to enable button within the Use natural language to generate queries and pipelines modal. Minimize the usage of lookup operations wherever feasible to enhance query efficiency. Jan 8, 2024 · MongoDB query with OpenAI. Compass uses AI to generate queries based on prompts you provide. Introduction. Apr 7, 2025 · Accessing specific information within databases, especially NoSQL systems like MongoDB, often requires specialized query knowledge. collection. Jul 28, 2024 · Key Components. To summarize we were able to utilize Chat Completion API along with function calling capability to generate MongoDB queries and verify them as well. prompt_template = f"""<s> Task Description: Your task is to create a MongoDB query that accurately fulfills the provided Instruct while strictly adhering to the given MongoDB schema. The temperature parameter set to 0. Summary. The generated response might vary. Returns the LLM 's response and the documents used as context. About. I hope you have enjoyed this content. This Node application receives a natural language query and converts it into a pipeline compatible with the aggregate method of a MongoDB database collection. LangChain. LangSmith. This way, it's possible to retrieve data listings from the database by making requests in natural language, such as: "What are the 5 most Nov 30, 2024 · Beginner’s Guide to Text-to-Mongo: Query MongoDB with Natural Language. You can use MongoDB Compass to generate queries using natural language. 2 influences the randomness of the output, favoring more deterministic responses. Calls the LLM that you specified when you set up your environment to generate a context-aware response based on the retrieved documents. We ask the LLM to generate code using specified variable names, which we will execute in an exec block. Use custom function tool to format the output in JSON format. The application uses Google's Gemini API for query generation and MongoDB for data storage. Choosing a different LLM can significantly impact the agent's output based on the underlying LLM’s strengths and weaknesses. Prompts the LLM with a sample query about Atlas security recommendations. By allowing users to input queries in plain language, MongoDB Compass simplifies the querying process, especially for those new to MongoDB or database queries in general. The generate_query method takes a textual query and returns a MongoDB query. This can create a significant barrier for non-technical users Feb 22, 2024 · In conclusion, MongoDB Compass’s Query with Natural Language feature revolutionizes the way users interact with databases. We can easily create a UI around it to extend the example and make it more useful! Thanks for reading and happy coding! Learn more about Large Language Models (LLMs) and how MongoDB Atlas Vector Search uses this technology to take your software applications to the next level. ; Dynamic Database and Collection Switching: The set_db_and_collection method allows you to switch databases and collections dynamically. PostgreSQL. You can Jun 20, 2024 · Large language model (LLM): This is the AI engine powering the agent's tasks, like text processing and generation. MongoDB. The goal is to load documents from MongoDB, generate embeddings for the text data, and perform semantic searches using both LangChain and LlamaIndex frameworks. To help improve the ai quality we use OpenAI’s LLM . GPT 3. May 22, 2024 · Explanation. Mar 12, 2025 · The conversation is structured with predefined roles and messages. Ensure that the query solely relies on keys and columns present in the schema. About this Task Step 2: Click "Generate Query" to see the MongoDB query generated by the LLM. 5 Turbo. Results: View the query results in a table and download the output as a CSV file if desired. To enable natural language querying in Compass, follow the steps below. Jan 31, 2024 · Create an assistant using Assistants API and use it to generate MongoDB queries. It is called LLM Based MongoDB Querying System through which users can search in MongoDB databases just by using simple words of English language rather than using complex language queries. It is instructed to generate a response based on the provided context and user query, summarizing the answer while citing the page number and file name. MongoDB query with OpenAI function calling. kdjpmnn naha ajtas cqrotd cykfz kyt aripda zdyw kfews cfcsjz