trulens
sqlglot
trulens | sqlglot | |
---|---|---|
14 | 56 | |
1,646 | 5,573 | |
8.9% | - | |
9.8 | 9.9 | |
2 days ago | 7 days ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
trulens
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Why Vector Compression Matters
Retrieval using a single vector is called dense passage retrieval (DPR), because an entire passage (dozens to hundreds of tokens) is encoded as a single vector. ColBERT instead encodes a vector-per-token, where each vector is influenced by surrounding context. This leads to meaningfully better results; for example, here’s ColBERT running on Astra DB compared to DPR using openai-v3-small vectors, compared with TruLens for the Braintrust Coda Help Desk data set. ColBERT easily beats DPR at correctness, context relevance, and groundedness.
- FLaNK AI Weekly 18 March 2024
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First 15 Open Source Advent projects
12. TruLens by TruEra | Github | tutorial
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trulens VS agenta - a user suggested alternative
2 projects | 22 Nov 2023
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How are generative AI companies monitoring their systems in production?
3) Hallucination is probably the biggest problem we solve for. To do evals for hallucination, we typically see our users use a combination of groundedness (does the context support the LLM response) and context relevance (is the retrieved context relevant to the query). There's also a bunch more for the evaluations you mentioned (moderation models, sentiment, usefulness, etc.) and it's pretty easy to add custom evals.
Also - my hot take is that gpt-3.5 is good enough for evals (sometimes better) than gpt-4 if you give the LLM enough instructions on how to do the eval.
website: https://www.trulens.org/
- FLaNK Stack Weekly 28 August 2023
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[P] TruLens-Eval is an open source project for eval & tracking LLM experiments.
The team at TruEra recently released an open source project for evaluation & tracking of LLM applications called TruLens-Eval. We’ve specifically targeted retrieval-augmented QA as a core use case and so far we’ve seen it used for comparing different models and parameters, prompts, vector-db configurations and query planning strategies. I’d love to get your feedback on it.
- [D] Hardest thing about building with LLMs?
- Stop Evaluating LLMs on Vibes
- OSS library for attribution and interpretation methods for deep nets
sqlglot
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The Future of MySQL is PostgreSQL: an extension for the MySQL wire protocol
This is probably referring to "zero changes to your driver code" and not "zero changes to the SQL you send over this driver".
Translating between SQL dialects is notoriously hard and attempts to translate [1] are working in 95% of cases. But the last 5% would require 5x amount of work. That's because "SQL dialect" also includes weird edge cases of type inference of things like COALESCE(5, FALSE) and emulation of system catalogs (pg_catalog, information_schema).
[1] https://github.com/tobymao/sqlglot
- FLaNK AI Weekly 18 March 2024
- SQLGlot: No-dependency SQL parser, transpiler, optimizer for 21 SQL dialects
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Transpile Any SQL to PostgreSQL Dialect
Recommend checking out https://github.com/tobymao/sqlglot if you are interested in this capability for other SQL dialects
Tools like this are helpful for:
- Rendering SQL in a consistent way, eg for snapshot testing
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This Week In Python
sqlglot – Python SQL Parser and Transpiler
- SQLglot: Python SQL Parser and Transpiler
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Build the dependency graph of your BigQuery pipelines at no cost: a Python implementation
In the project we used Python lib networkx and a DiGraph object (Direct Graph). To detect a table reference in a Query, we use sqlglot, a SQL parser (among other things) that works well with Bigquery.
- A Primer on SQLGlot's Abstract Syntax Tree
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Show HN: SQL Polyglot
Cool! Is this built with sqlglot[1] on the back end?
[1] https://github.com/tobymao/sqlglot
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sqlglot - Amazing SQL parsing library
Wanted to give sqlglot a shoutout as it saved me a ton of time.
What are some alternatives?
langfuse - 🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
sqloxide - Python bindings for sqlparser-rs
shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
JSqlParser - JSqlParser parses an SQL statement and translate it into a hierarchy of Java classes. The generated hierarchy can be navigated using the Visitor Pattern
probability - Probabilistic reasoning and statistical analysis in TensorFlow
Transcrypt - Python 3.9 to JavaScript compiler - Lean, fast, open! -
LIME - Tutorial notebooks on explainable Machine Learning with LIME (Original work: https://arxiv.org/abs/1602.04938)
zetasql - ZetaSQL - Analyzer Framework for SQL
embedchain - Personalizing LLM Responses
duckdb - DuckDB is an in-process SQL OLAP Database Management System
machine_learning_basics - Plain python implementations of basic machine learning algorithms
criterion.rs - Statistics-driven benchmarking library for Rust