![]() Because we have a simple data structure in the droidcon demo, it was quick and easy to build a ‘proof of concept’ by hardcoding the schema.įigure 3 shows the hardcoded schema description along with prompt prefix and suffix that guides the model in how to interpret it. The ideal way to achieve this is by inferring the actual database schema and feeding it to the model as a function parameter. In this article, we will discuss how to open and convert an SQLite database to a Pandas DataFrame. However, you may need to access the data stored in an SQLite database using Python. It is lightweight, easy to use, and widely supported. Now we need to figure out what the parameters are, and then how to handle the function when called.Įxposing the table schema to the chat model via a function can enable it to generate its own queries. SQLite is a popular relational database management system that stores data in a file format. Output should be a fully formed SQL query."įigure 2: Starting point for the AskDatabaseFunction Return "Answer user questions about conference sessions like what room sessions are presented in. You can view the result in the functions/AskDatabaseFunction.kt file, and the descriptive properties are shown in Figure 2: We’ll start by creating the call function class, using the template from the save favorites blog post. In a production application, you would spend more time on a robust data strategy. Then, if the database is small enough, you can view the entire contents with: sqlite>. Replace database.sqlite with your database file. Since this is a sample focused on AI and not SQL, you’ll notice the schema and code is somewhat simplistic. To check, open a command prompt and try: sqlite3 database.sqlite. See the data/DroidconDatabase.kt file for the complete database schema and data loading functionality. In our use case, we’ll only be executing against a read-only database API, so there’s no risk of data loss, and there’s only a single-user’s favorites stored so no privacy concerns either. ![]() It could also expose data you don’t want the user to see (from system tables, internal tables, or data they shouldn’t have access to). Unlike those functions, however, we’ll be using the rawQuery() function rather than building up “strongly typed” queries because the SQL will be generated by the model.Īs the example explains, this can be dangerous in production applications, as the model is not perfectly reliable at generating valid SQL, so there’s a possibility that it’ll generate code that won’t run (or an even more remote possibility that it could generate destructive queries). Just like the previous posts on storing favorites and vectors, we’ll use the Android Sqlite APIs described in the the SQLite training documentation. sqlite-wasm-3420000.zip (782.10 KiB) A precompiled bundle of sqlite3.wasm and its JavaScript APIs, ready for use in web applications. ![]() In this post, we’ll implement the model generated arguments function call in Kotlin, using the droidcon SF 2023 conference schedule data as the source.įigure 1: JetchatAI droidcon SF demo answering questions with dynamically generated and executed SQL SQLite on Android Visit the website and especially the download page for source code and binaries of SQLite for. There’s also a natural language to SQL demo that demonstrates the model’s understanding of SQL. The OpenAI Cookbook examples repo includes a section on how to call functions with model generated arguments, which includes a python demo of a function that understands a database schema and generates SQL that is executed to answer questions from the chat. Tried database = C:\Rest\DB.SQLite, jdbcUrlFormat = jdbc:sqlite://, and database = C:\\Rest\\DB.SQLite.Previous blogs explained how to add droidcon session favorites to a database and also cache the embedding vectors in a database – but what if we stored everything in a database and then let the model query it directly? \Splunk\etc\apps\splunk_app_db_connect\local etc/rstudio-connect/rstudio-connect.gcfg Database Provider. I can see the SQLite driver listed under Drivers.Ĭonfiguration under. Provider setting has a value of sqlite or if Provider is not present in the configuration file. I can't find anything in the logs as to why it thinks that. When I select my DB from the dropdown menu, I get "Invalid Database Connection". ![]() Latest DB Connect is running, Java 8 is installed, and SQL Explorer (under Data Lab) lists my connection. I created one to mirror the config with no password. I realized I needed to create an identity, according to the first link. ![]()
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