langchain

Commit Graph

Author	SHA1	Message	Date
Tomoko Uchida	b706966ebc	Add setup instruction in Getting Started for Indexing (#1847 ) `VectorstoreIndexCreator` [uses Chroma as the vectorstore by default](`1c22657256/langchain/indexes/vectorstore.py (L49)`). It may be helpful to add a short note for the setup. You can see how the notebook looks here. https://github.com/mocobeta/langchain/blob/feat/add-setup-instruction-to-index-getting-started/docs/modules/indexes/getting_started.ipynb	2 years ago
Harrison Chase	1c22657256	Harrison/faiss merge (#1843 ) Co-authored-by: Ting Su <ting.su.1995@outlook.com>	2 years ago
Harrison Chase	6f02286805	Harrison/subtitles (#1842 ) Co-authored-by: David Ruan <ruanwz@gmail.com> Co-authored-by: David Ruan <david.ruan@analyticservice.net>	2 years ago
Simon Zhou	3674074eb0	Add Qdrant to ecosystem page (#1830 ) Add [Qdrant](https://qdrant.tech/) to [LangChain ecosystem](https://langchain.readthedocs.io/en/latest/ecosystem.html) page.	2 years ago
Wenbin Fang	a7e09d46c5	Add podcast api tool to use NLP to search all podcasts or episodes. (#1833 ) Use the following code to test: ```python import os from langchain.llms import OpenAI from langchain.chains.api import podcast_docs from langchain.chains import APIChain # Get api key here: https://openai.com/pricing os.environ["OPENAI_API_KEY"] = "sk-xxxxx" # Get api key here: https://www.listennotes.com/api/pricing/ listen_api_key = 'xxx' llm = OpenAI(temperature=0) headers = {"X-ListenAPI-Key": listen_api_key} chain = APIChain.from_llm_and_api_docs(llm, podcast_docs.PODCAST_DOCS, headers=headers, verbose=True) chain.run("Search for 'silicon valley bank' podcast episodes, audio length is more than 30 minutes, return only 1 results") ``` Known issues: the api response data might be too big, and we'll get such error: `openai.error.InvalidRequestError: This model's maximum context length is 4097 tokens, however you requested 6733 tokens (6477 in your prompt; 256 for the completion). Please reduce your prompt; or completion length.`	2 years ago
Matt Tucker	fa2e546b76	Add workaround for debugpy install issue to contrib docs. (#1835 ) When following the Quick Start instructions in the contributing docs, I was getting a "WheelFileValidationError" on installation of debugpy which was blocking the installation of a number of other deps. Google turned up this [GitHub issue](https://github.com/microsoft/debugpy/issues/1246) indicating a regression in Poetry 1.4.1 and workarounds. This PR updates the contrib docs noting the issue and the workarounds.	2 years ago
Daniel Dror (Dubovski)	c592b12043	Allow passing in encoding to csv_loader (#1836 )	2 years ago
Ikko Eltociear Ashimine	9555bbd5bb	Fix typo in sqlite.ipynb (#1828 ) overriden -> overridden	2 years ago
Harrison Chase	0ca1641b14	release 0.0.117 (#1819 )	2 years ago
Harrison Chase	d5b4393bb2	Harrison/llm math (#1808 ) Co-authored-by: Vadym Barda <vadim.barda@gmail.com>	2 years ago
Bryan Helmig	7b6ff7fe00	Follow up to #1803 to remove dynamic docs route. (#1818 ) The base docs are going to be more stable and familiar for folks. Dynamic route is currently in flux.	2 years ago
Harrison Chase	76c7b1f677	Harrison/wandb (#1764 ) Co-authored-by: Anish Shah <93145909+ash0ts@users.noreply.github.com>	2 years ago
Paul	5aa8ece211	Corrected small typo in error message. (#1791 )	2 years ago
Harrison Chase	f6d24d5740	fix bug with openai token count (#1806 )	2 years ago
Harrison Chase	b1c4480d7c	fix typing (#1807 )	2 years ago
Daniel Chalef	b6ba989f2f	Add request timeout to ChatOpenAI (#1798 ) Add request_timeout field to ChatOpenAI. Defaults to 60s. --------- Co-authored-by: Daniel Chalef <daniel.chalef@private.org>	2 years ago
Ankush Gola	04acda55ec	Don't use dynamic api endpoint for Zapier NLA (#1803 ) From Robert "Right now the dynamic/ route for specifically the above endpoints is acting on all providers a user has set up, not just the provider for the supplied API key."	2 years ago
Harrison Chase	8e5c4ac867	bump version to 0.0.116 (#1788 )	2 years ago
Aratako	df8702fead	Small fix: Remove unused variable `summary_message_role` (#1789 ) After the changes in #1783, `summary_message_role` is no longer used in `ConversationSummaryBufferMemory`, so this PR removes it.	2 years ago
Harrison Chase	d5d50c39e6	Harrison/azure embeddings (#1787 ) Co-authored-by: Hemant <4627288+ghaccount@users.noreply.github.com>	2 years ago
Harrison Chase	1f18698b2a	Harrison/token buffer memory (#1786 ) Co-authored-by: Aratako <127325395+Aratako@users.noreply.github.com>	2 years ago
Harrison Chase	ef4945af6b	Harrison/chat token usage (#1785 )	2 years ago
Harrison Chase	7de2ada3ea	Harrison/add source column (#1784 ) Co-authored-by: Brian Graham <46691715+briangrahamww@users.noreply.github.com> Co-authored-by: briangrahamww <brian.graham@ww.com>	2 years ago
Bernat Felip i Díaz	262d4cb9a8	Use embedding instead of embedding function in ElasticVectorStore (#1692 ) While it might be a bit more restrictive, I find that using the Embedding interface as an input for the vector store creation is better than an embedding function because we can use bulk requests and possibly the retry logic if needed. I have seen that some vector store implementations use Embedding while others use embedding function so I don't know what is the criteria to have one or the other, in my opinion they should all just be Embedding or have a way more complex embedding function that accepts multiple texts instead of one by one. --------- Co-authored-by: Bernat Felip <bernat.felip@rea.ch>	2 years ago
Harrison Chase	951c158106	Harrison/summary message rol (#1783 ) Co-authored-by: Aratako <127325395+Aratako@users.noreply.github.com>	2 years ago
Bao Nguyen	85e4dd7fc3	Fix wrong prompt in refine chain (#1770 ) I got this during testing ``` ValueError: Missing some input keys: {'existing_answer'} ``` Upon review, the initial prompt should be `QUESTION_PROMPT_SELECTOR`. Co-authored-by: Bao Nguyen <bnguyen@roku.com>	2 years ago
Harrison Chase	b1b4a4065a	change chat default (#1782 ) Resolves https://github.com/hwchase17/langchain/issues/1532, resolves https://github.com/hwchase17/langchain/issues/1652.	2 years ago
Huang Chongdi	08f23c95d9	add encoding parameter to ObsidianLoader (#1752 )	2 years ago
hitoshi44	3cf493b089	Fix Document & Expose StringPromptTemplate as a custom-prompt-template. (#1753 ) Regarding [this issue](https://github.com/hwchase17/langchain/issues/1754), the code in the document [Creating a custom prompt template](https://langchain.readthedocs.io/en/latest/modules/prompts/examples/custom_prompt_template.html) is no longer functional and outdated. To address this, I have made the following changes: 1. Updated the guide in the document to use `StringPromptTemplate` instead of `BasePromptTemplate`. 2. Exposed `StringPromptTemplate` in `prompts/__init__.py` for easier importing.	2 years ago
hitoshi44	e635c86145	Slightly modified the docstring in `BasePromptTemplate` and `StringPromptTemplate`. (#1755 ) Regarding [this issue](https://github.com/hwchase17/langchain/issues/1754), `BasePromptTample` class docstring is a little outdated, thus it requires new method `format_prompt` for now. As such, I have made some modifications to the docstring to bring it up to date. I tried to adhere to the established document style, and would appreciate you for taking a look at this PR.	2 years ago
Harrison Chase	779790167e	Harrison/add warning to openaichat (#1781 )	2 years ago
Nils Durner	3161ced4bc	GPT-4 support (#1778 )	2 years ago
hung_ng__	3d6fcb85dc	Add load json prompt example (#1776 ) Hi, I just want to add a PR on the prompt serialization examples of loading from JSON so that it can contain the same as loading from YAML.	2 years ago
LeoGrin	3701b2901e	use namespace argument in Pinecone constructor (#1757 ) Fix #1756 Use the `namespace` argument of `Pinecone.from_exisiting_index` to set the default value of `namespace` for other methods. Leads to more expected behavior and easier integration in chains. For the test, I've added a line to delete and rebuild the `langchain-demo` index at the beginning of the test. I'm not 100% sure if it's a good idea but it makes the test reproducible.	2 years ago
Ben Gahtan	280cb4160d	Update tool.py (#1760 ) Fixed typo that said the Wikipedia tool was using Wolfram Alpha (instead of Wikipedia)	2 years ago
Kevin	80d8db5f60	Add service account support to Google Drive (#1761 ) Having service account support in the drive document loader would be nice. This is already present in the youtube loader. `cb646082ba/langchain/document_loaders/youtube.py (L76-L78)`	2 years ago
Piyush Jain	1a8790d808	Corrects copyright year (#1762 ) Corrected copyright year.	2 years ago
Eric Zhu	34840f3aee	AzureChatOpenAI for Azure Open AI's ChatGPT API (#1673 ) Add support for Azure OpenAI's ChatGPT API, which uses ChatML markups to format messages instead of objects. Related issues: #1591, #1659	2 years ago
Harrison Chase	8685d53adc	querying tabular data (#1758 )	2 years ago
Harrison Chase	2f6833d433	hotfix (#1742 )	2 years ago
Harrison Chase	dd90fd02d5	Harrison/move docs (#1741 )	2 years ago
Harrison Chase	07766a69f3	move docs (#1740 )	2 years ago
Harrison Chase	aa854988bf	bump version to 114 (#1739 )	2 years ago
Harrison Chase	96ebe98dc2	Harrison/latex splitter (#1738 ) Co-authored-by: Aidan Holland <thehappydinoa@gmail.com> Co-authored-by: Jan de Boer <44832123+Janldeboer@users.noreply.github.com>	2 years ago
Harrison Chase	45f05fc939	Harrison/blackboard loader (#1737 ) Co-authored-by: Aidan Holland <thehappydinoa@gmail.com>	2 years ago
Vincent Liao	cf9c3f54f7	docs: add docs link to agent toolkits (#1735 ) New to Langchain, was a bit confused where I should find the toolkits section when I'm at `agent/key_concepts` docs. I added a short link that points to the how to section.	2 years ago
Merbin J Anselm	fbc0c85b90	fix: agent json parser fails with text in suffix (#1734 ) While testing out `VectorDBQA` as a `Tool` for one of the conversation, I happened to get a response from LLM (OpenAI) like this <code> Could not parse LLM output: Here's a response using the Product Search tool: ```json { "action": "Product Search", "action_input": "pots for plants" } ``` This will allow you to search for pots for your plants and find a variety of options that are available for purchase. You can use this information to choose the pots that best fit your needs and preferences. </code> i.e. The response had a text before & after the expected JSON, leading to `JSONDecodeError`. It's fixed now, by removing text after '```' to remove unwanted text. The error I encountered in this Jupyter Notebook - [link](https://github.com/anselm94/chatbot-llm-ecommerce/blob/main/chatcommerce.ipynb) <details> <summary>Error encountered</summary> <code> --------------------------------------------------------------------------- JSONDecodeError Traceback (most recent call last) File ~/Git/chatbot-llm-ecommerce/.venv/lib/python3.11/site-packages/langchain/agents/conversational_chat/base.py:104, in ConversationalChatAgent._extract_tool_and_input(self, llm_output) 103 try: --> 104 response = self.output_parser.parse(llm_output) 105 return response["action"], response["action_input"] File ~/Git/chatbot-llm-ecommerce/.venv/lib/python3.11/site-packages/langchain/agents/conversational_chat/base.py:49, in AgentOutputParser.parse(self, text) 48 cleaned_output = cleaned_output.strip() ---> 49 response = json.loads(cleaned_output) 50 return {"action": response["action"], "action_input": response["action_input"]} File /opt/homebrew/Cellar/python@3.11/3.11.2_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/json/__init__.py:346, in loads(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, *kw) 343 if (cls is None and object_hook is None and 344 parse_int is None and parse_float is None and 345 parse_constant is None and object_pairs_hook is None and not kw): --> 346 return _default_decoder.decode(s) 347 if cls is None: File /opt/homebrew/Cellar/python@3.11/3.11.2_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/json/decoder.py:340, in JSONDecoder.decode(self, s, _w) 339 if end != len(s): --> 340 raise JSONDecodeError("Extra data", s, end) 341 return obj JSONDecodeError: Extra data: line 5 column 1 (char 74) During handling of the above exception, another exception occurred: ValueError Traceback (most recent call last) Cell In[22], line 1 ----> 1 ask_ai.run("Yes. I need pots for my plants") File ~/Git/chatbot-llm-ecommerce/.venv/lib/python3.11/site-packages/langchain/chains/base.py:213, in Chain.run(self, args, kwargs) 211 if len(args) != 1: 212 raise ValueError("`run` supports only one positional argument.") --> 213 return self(args[0])[self.output_keys[0]] 215 if kwargs and not args: 216 return self(kwargs)[self.output_keys[0]] File ~/Git/chatbot-llm-ecommerce/.venv/lib/python3.11/site-packages/langchain/chains/base.py:116, in Chain.__call__(self, inputs, return_only_outputs) 114 except (KeyboardInterrupt, Exception) as e: 115 self.callback_manager.on_chain_error(e, verbose=self.verbose) --> 116 raise e 117 self.callback_manager.on_chain_end(outputs, verbose=self.verbose) 118 return self.prep_outputs(inputs, outputs, return_only_outputs) File ~/Git/chatbot-llm-ecommerce/.venv/lib/python3.11/site-packages/langchain/chains/base.py:113, in Chain.__call__(self, inputs, return_only_outputs) 107 self.callback_manager.on_chain_start( 108 {"name": self.__class__.__name__}, 109 inputs, 110 verbose=self.verbose, 111 ) 112 try: --> 113 outputs = self._call(inputs) 114 except (KeyboardInterrupt, Exception) as e: 115 self.callback_manager.on_chain_error(e, verbose=self.verbose) File ~/Git/chatbot-llm-ecommerce/.venv/lib/python3.11/site-packages/langchain/agents/agent.py:499, in AgentExecutor._call(self, inputs) 497 # We now enter the agent loop (until it returns something). 498 while self._should_continue(iterations): --> 499 next_step_output = self._take_next_step( 500 name_to_tool_map, color_mapping, inputs, intermediate_steps 501 ) 502 if isinstance(next_step_output, AgentFinish): 503 return self._return(next_step_output, intermediate_steps) File ~/Git/chatbot-llm-ecommerce/.venv/lib/python3.11/site-packages/langchain/agents/agent.py:409, in AgentExecutor._take_next_step(self, name_to_tool_map, color_mapping, inputs, intermediate_steps) 404 """Take a single step in the thought-action-observation loop. 405 406 Override this to take control of how the agent makes and acts on choices. 407 """ 408 # Call the LLM to see what to do. --> 409 output = self.agent.plan(intermediate_steps, inputs) 410 # If the tool chosen is the finishing tool, then we end and return. 411 if isinstance(output, AgentFinish): File ~/Git/chatbot-llm-ecommerce/.venv/lib/python3.11/site-packages/langchain/agents/agent.py:105, in Agent.plan(self, intermediate_steps, kwargs) 94 """Given input, decided what to do. 95 96 Args: (...) 102 Action specifying what tool to use. 103 """ 104 full_inputs = self.get_full_inputs(intermediate_steps, kwargs) --> 105 action = self._get_next_action(full_inputs) 106 if action.tool == self.finish_tool_name: 107 return AgentFinish({"output": action.tool_input}, action.log) File ~/Git/chatbot-llm-ecommerce/.venv/lib/python3.11/site-packages/langchain/agents/agent.py:67, in Agent._get_next_action(self, full_inputs) 65 def _get_next_action(self, full_inputs: Dict[str, str]) -> AgentAction: 66 full_output = self.llm_chain.predict(**full_inputs) ---> 67 parsed_output = self._extract_tool_and_input(full_output) 68 while parsed_output is None: 69 full_output = self._fix_text(full_output) File ~/Git/chatbot-llm-ecommerce/.venv/lib/python3.11/site-packages/langchain/agents/conversational_chat/base.py:107, in ConversationalChatAgent._extract_tool_and_input(self, llm_output) 105 return response["action"], response["action_input"] 106 except Exception: --> 107 raise ValueError(f"Could not parse LLM output: {llm_output}") ValueError: Could not parse LLM output: Here's a response using the Product Search tool: ```json { "action": "Product Search", "action_input": "pots for plants" } ``` This will allow you to search for pots for your plants and find a variety of options that are available for purchase. You can use this information to choose the pots that best fit your needs and preferences. </details>	2 years ago
Harrison Chase	276940fd9b	Harrison/official method (#1728 ) Co-authored-by: Aratako <127325395+Aratako@users.noreply.github.com>	2 years ago
Piyush Jain	cdff6c8181	Sagemaker Endpoint LLM (#1686 ) Updates #965 --------- Co-authored-by: Nimisha Mehta <116048415+nimimeht@users.noreply.github.com> Co-authored-by: Harrison Chase <harrisonchase@Harrisons-MBP.attlocal.net>	2 years ago
alekhyablue	cd45adbea2	adding new agent types in comments (#1711 )	2 years ago

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