langchain

Commit Graph

Author	SHA1	Message	Date
Bagatur	c0ce93236a	experimental[patch]: fix zero-shot pandas agent (#17442 )	5 months ago
Bagatur	c2d09fb151	infra: bump exp min test reqs (#16884 )	5 months ago
Bagatur	65ba5c220b	experimental[patch]: Release 0.0.50 (#16883 )	5 months ago
Massimiliano Pronesti	1bc8d9a943	experimental[patch]: missing resolution strategy in anonymization (#16653 ) - Description: Presidio-based anonymizers are not working because `_remove_conflicts_and_get_text_manipulation_data` was being called without a conflict resolution strategy. This PR fixes this issue. In addition, it removes some mutable default arguments (antipattern). To reproduce the issue, just run the very first cell of this [notebook](https://python.langchain.com/docs/guides/privacy/2/) from langchain's documentation. <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	5 months ago
Erick Friis	95a2c92e26	experimental[patch]: minimum version bump (#15724 ) - experimental: minimum version bump - actually 0.1.5 - actually 0.1.7	6 months ago
Erick Friis	6c9b7c2cec	experimental: minimum version bump (#15722 ) experimental relies on `from langchain_core.runnables.config import run_in_executor` which was introduced in core 0.1.5. Updated pyproject dependency as well as minimum version test.	6 months ago
Bagatur	14c5c15958	experimental[patch]: Release 0.0.48 (#15483 )	6 months ago
Bagatur	b72b19b593	experimental[patch]: Release 0.0.47 (#14617 )	7 months ago
Bagatur	8bdaf55e92	experimental[patch]: Release 0.0.46 (#14572 )	7 months ago
Bagatur	ed58eeb9c5	community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463 ) Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes	7 months ago
Bagatur	52052cc7b9	experimental[patch]: Release 0.0.45 (#14418 )	7 months ago
Bagatur	b2280fd874	core[patch], langchain[patch]: fix required deps (#14373 )	7 months ago
Bagatur	6607cc6eab	experimental[patch]: Release 0.0.44 (#14310 )	7 months ago
Jacob Lee	3328507f11	langchain[patch], experimental[minor]: Adds OllamaFunctions wrapper (#13330 ) CC @baskaryan @hwchase17 @jmorganca Having a bit of trouble importing `langchain_experimental` from a notebook, will figure it out tomorrow ~Ah and also is blocked by #13226~ --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Bagatur	a20e8f8bb0	experimental[patch]: release 0.0.43 (#13570 )	7 months ago
Bagatur	48fbc5513d	infra[patch], langchain[patch]: fix test deps and upper bound langchain dep on core(#13984 )	7 months ago
Bagatur	46b3311190	RELEASE: 0.0.341 (#13926 )	7 months ago
Martin Krasser	79ed66f870	EXPERIMENTAL Generic LLM wrapper to support chat model interface with configurable chat prompt format (#8295 ) ## Update 2023-09-08 This PR now supports further models in addition to Lllama-2 chat models. See [this comment](#issuecomment-1668988543) for further details. The title of this PR has been updated accordingly. ## Original PR description This PR adds a generic `Llama2Chat` model, a wrapper for LLMs able to serve Llama-2 chat models (like `LlamaCPP`, `HuggingFaceTextGenInference`, ...). It implements `BaseChatModel`, converts a list of chat messages into the [required Llama-2 chat prompt format](https://huggingface.co/blog/llama2#how-to-prompt-llama-2) and forwards the formatted prompt as `str` to the wrapped `LLM`. Usage example: ```python # uses a locally hosted Llama2 chat model llm = HuggingFaceTextGenInference( inference_server_url="http://127.0.0.1:8080/", max_new_tokens=512, top_k=50, temperature=0.1, repetition_penalty=1.03, ) # Wrap llm to support Llama2 chat prompt format. # Resulting model is a chat model model = Llama2Chat(llm=llm) messages = [ SystemMessage(content="You are a helpful assistant."), MessagesPlaceholder(variable_name="chat_history"), HumanMessagePromptTemplate.from_template("{text}"), ] prompt = ChatPromptTemplate.from_messages(messages) memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True) chain = LLMChain(llm=model, prompt=prompt, memory=memory) # use chat model in a conversation # ... ``` Also part of this PR are tests and a demo notebook. - Tag maintainer: @hwchase17 - Twitter handle: `@mrt1nz` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Predrag Gruevski	d63d4994c0	Bump all libraries to the latest `ruff` version. (#13350 ) This version of `ruff` is the one we'll be using to lint the docs and cookbooks (#12677), so I'm making it used everywhere else too.	8 months ago
Erick Friis	506f81563f	Update Deps in Experimental (#13029 )	8 months ago
Predrag Gruevski	f94e24dfd7	Install and use `ruff format` instead of black for code formatting. (#12585 ) Best to review one commit at a time, since two of the commits are 100% autogenerated changes from running `ruff format`: - Install and use `ruff format` instead of black for code formatting. - Output of `ruff format .` in the `langchain` package. - Use `ruff format` in experimental package. - Format changes in experimental package by `ruff format`. - Manual formatting fixes to make `ruff .` pass.	8 months ago
Bagatur	85302a9ec1	Add CI check that integration tests compile (#12090 )	9 months ago
Predrag Gruevski	dcd0392423	Upgrade to newer black (23.10) and ruff (first 0.1.x!) versions. (#11944 ) Minor lint dependency version upgrade to pick up latest functionality. Ruff's new v0.1 version comes with lots of nice features, like fix-safety guarantees and a preview mode for not-yet-stable features: https://astral.sh/blog/ruff-v0.1.0	9 months ago
Predrag Gruevski	7c0f1bf23f	Upgrade experimental package dependencies and use Poetry 1.6.1. (#11339 ) Part of upgrading our CI to use Poetry 1.6.1.	9 months ago
Bagatur	8fafa1af91	merge	9 months ago
Predrag Gruevski	c9986bc3a9	Tweak type hints to match dependency's behavior. (#11355 ) Needs #11353 to merge first, and a new `langchain` to be published with those changes.	9 months ago
olgavrou	2dba4046fa	update experimental poetry lock	10 months ago
刘方瑞	890ed775a3	Resolve: VectorSearch enabled SQLChain? (#10177 ) Squashed from #7454 with updated features We have separated the `SQLDatabseChain` from `VectorSQLDatabseChain` and put everything into `experimental/`. Below is the original PR message from #7454. ------- We have been working on features to fill up the gap among SQL, vector search and LLM applications. Some inspiring works like self-query retrievers for VectorStores (for example [Weaviate](https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/weaviate_self_query.html) and [others](https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/self_query.html)) really turn those vector search databases into a powerful knowledge base! 🚀🚀 We are thinking if we can merge all in one, like SQL and vector search and LLMChains, making this SQL vector database memory as the only source of your data. Here are some benefits we can think of for now, maybe you have more 👀: With ALL data you have: since you store all your pasta in the database, you don't need to worry about the foreign keys or links between names from other data source. Flexible data structure: Even if you have changed your schema, for example added a table, the LLM will know how to JOIN those tables and use those as filters. SQL compatibility: We found that vector databases that supports SQL in the marketplace have similar interfaces, which means you can change your backend with no pain, just change the name of the distance function in your DB solution and you are ready to go! ### Issue resolved: - [Feature Proposal: VectorSearch enabled SQLChain?](https://github.com/hwchase17/langchain/issues/5122) ### Change made in this PR: - An improved schema handling that ignore `types.NullType` columns - A SQL output Parser interface in `SQLDatabaseChain` to enable Vector SQL capability and further more - A Retriever based on `SQLDatabaseChain` to retrieve data from the database for RetrievalQAChains and many others - Allow `SQLDatabaseChain` to retrieve data in python native format - Includes PR #6737 - Vector SQL Output Parser for `SQLDatabaseChain` and `SQLDatabaseChainRetriever` - Prompts that can implement text to VectorSQL - Corresponding unit-tests and notebook ### Twitter handle: - @MyScaleDB ### Tag Maintainer: Prompts / General: @hwchase17, @baskaryan DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev ### Dependencies: No dependency added	10 months ago
Tomaz Bratanic	db73c9d5b5	Diffbot Graph Transformer / Neo4j Graph document ingestion (#9979 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
maks-operlejn-ds	a8f804a618	Add data anonymizer (#9863 ) ### Description The feature for anonymizing data has been implemented. In order to protect private data, such as when querying external APIs (OpenAI), it is worth pseudonymizing sensitive data to maintain full privacy. Anonynization consists of two steps: 1. Identification: Identify all data fields that contain personally identifiable information (PII). 2. Replacement: Replace all PIIs with pseudo values or codes that do not reveal any personal information about the individual but can be used for reference. We're not using regular encryption, because the language model won't be able to understand the meaning or context of the encrypted data. We use Microsoft Presidio together with Faker framework for anonymization purposes because of the wide range of functionalities they provide. The full implementation is available in `PresidioAnonymizer`. ### Future works - deanonymization - add the ability to reverse anonymization. For example, the workflow could look like this: `anonymize -> LLMChain -> deanonymize`. By doing this, we will retain anonymity in requests to, for example, OpenAI, and then be able restore the original data. - instance anonymization - at this point, each occurrence of PII is treated as a separate entity and separately anonymized. Therefore, two occurrences of the name John Doe in the text will be changed to two different names. It is therefore worth introducing support for full instance detection, so that repeated occurrences are treated as a single object. ### Twitter handle @deepsense_ai / @MaksOpp --------- Co-authored-by: MaksOpp <maks.operlejn@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Predrag Gruevski	d564ec944c	`poetry lock` the experimental package. (#9478 )	11 months ago
Harrison Chase	d353d668e4	remove CVEs (#8092 ) This PR aims to move all code with CVEs into `langchain.experimental`. Note that we are NOT yet removing from the core `langchain` package - we will give people a week to migrate here. See MIGRATE.md for how to migrate Zero changes to functionality Vulnerabilities this addresses: PALChain: - https://security.snyk.io/vuln/SNYK-PYTHON-LANGCHAIN-5752409 - https://security.snyk.io/vuln/SNYK-PYTHON-LANGCHAIN-5759265 SQLDatabaseChain - https://security.snyk.io/vuln/SNYK-PYTHON-LANGCHAIN-5759268 `load_prompt` (Python files only) - https://security.snyk.io/vuln/SNYK-PYTHON-LANGCHAIN-5725807	12 months ago
Harrison Chase	da04760de1	Harrison/move experimental (#8084 )	12 months ago

33 Commits (a8f530bc4d2692d0e1c3713643522751f85df51c)